- published: 12 Jan 2016
- views: 75251
Theano (philosopher)
Theano (Greek: Θεανώ; fl. 6th-century BC) or Theano of Croton, is the name given to perhaps two Pythagorean philosophers. She has been called the pupil, daughter and wife of Pythagoras, although others made her the wife of Brontinus. Her place of birth and the identity of her father are just as uncertain, leading some authors to suggest that there was more than one person whose details have become merged (these are sometimes referred to as Theano I and Theano II). A few fragments and letters ascribed to her have survived which are of uncertain authorship.
Life
Little is known about the life of Theano, and the ancient sources are confused. According to one tradition, she came from Crete and was the daughter of Pythonax, but others said she came from Croton and was the daughter of Brontinus. She was said by many to have been the wife of Pythagoras, although another tradition made her the wife of Brontinus.Iamblichus, in an attempt to resolve the confusion, refers to Deino as the wife of Brontinus.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Theano_(philosopher)
Theano
Theano (Ancient Greek: Θεανώ) was the priestess of Athena in Troy. She was the daughter of the Thracian king Cisseus and Telecleia, wife of Antenor, and mother of many sons and a daughter Crino. The household of Antenor and Theano advocated peace and advised Helen's return to the Greeks. Because of their support (some say treason), the Greeks spared their household when they sacked the city. One story has Theano and Antenor sailing with Aeneas to Italy and founding the city of Padua. Another story is that she took the Palladium, an image of Athena that had fallen from the sky and supposedly provided Troy its protection, with her. In Book VI of the Iliad, with Hecuba and the Trojan women, Theano offered a gift and plea to Athena for the life of the city, but was rebuffed.
Other uses
Theano is also the name of three more (minor) figures in Greek and Roman mythology.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Theano
Theano (software)
Theano is a numerical computation library for Python. In Theano, computations are expressed using a NumPy-like syntax and compiled to run efficiently on either CPU or GPU architectures.
Theano is an open source project primarily developed by a machine learning group at the Université de Montréal.
See also
References
External links
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Theano_(software)
Theano (disambiguation)
Theano may refer to:
- Theano, name of several figures in Greek mythology
- Theano, one of the Leuctrides
- Theano (philosopher), historical female philosopher
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Theano_(disambiguation)
Podcasts:
-
Theano - Ep. 17 (Deep Learning SIMPLIFIED)
Theano is a Python library that defines a set of mathematical functions for building deep nets. Nets that use these functions as their building blocks will be highly optimized for training. Deep Learning TV on Facebook: https://www.facebook.com/DeepLearningTV/ Twitter: https://twitter.com/deeplearningtv The core feature of Theano is the use of vectors and matrices for all of its functions. Vectorized code runs quickly since multiple values can be processed in parallel. Since Deep Nets require large amounts of computation throughout the training process, vectorization is a highly-recommended feature. Theano is multi-threaded with GPU support, so deep nets can be trained on just a single machine within a reasonable amount of time. To use Theano for Deep Learning, you must code every aspe...
published: 12 Jan 2016 -
Theano vs TensorFlow | Deep Learning Frameworks Compared | Edureka
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow ** This Edureka video will provide you with a crisp comparison between the two Deep Learning Frameworks - Theano and TensorFlow and will help you choose the right one for yourself. Subscribe to our channel to get video updates. Hit the subscribe button above https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE #tensorflow #theano #deeplearning #machinelearning #frameworks - - - - - - - - - - - - - - How does it work? 1. This is 21 hr...
published: 13 Aug 2019 -
Introduction to Theano
This video gives an introduction to theano and runs the first theano program in spyder.
published: 23 Mar 2016 -
What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)
#Theano(philosopher) #audioversity ~~~ Theano (philosopher) ~~~ Title: What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher) Created on: 2018-11-27 Source Link: https://en.wikipedia.org/wiki/Theano_(philosopher) ------ Description: Theano , or Theano of Crotone, is the name given to perhaps two Pythagorean philosophers. She has been called the pupil, daughter or wife of Pythagoras, although others made her the wife of Brontinus. Her place of birth and the identity of her father are just as uncertain, leading some authors to suggest that there was more than one person whose details have become merged . A few fragments and letters ascribed to her have survived which are of uncertain authorship. ------ To see your favorite topic here, fill out this requ...
published: 27 Nov 2018 -
Secrets of Theano of Croton's Timeless Teachings
Step into the world of ancient Greece and discover the timeless teachings of Theano of Croton a woman renowned for her intellect and influence. In this enlightening YouTube Shorts video, we explore 10 empowering teachings inspired by Theano of Croton wisdom and legacy. Join us as we delve into the principles that shaped Aspasia's worldview and continue to resonate in today's world. From empowerment through education to embracing diversity and promoting equality, each teaching reflects Theano’s commitment to fostering intellectual growth, compassion, and personal integrity. Through captivating visuals and concise narration, this Shorts video offers a glimpse into the profound insights of Theona, encouraging viewers to reflect on how her teachings can inspire positive change in their own liv...
published: 26 Apr 2024 -
THEANO AND CNTK
Decoding Theano & CNTK: A Deep Dive into Neural Networks by lalitha's Workspace OUTLINE: Introduction and Question 00:00:00 Explaining Theano 00:00:33 Explaining CNTK 00:02:04 Summary and Conclusion 00:03:34
published: 26 Apr 2024 -
Theano Tutorial (Pascal Lamblin, MILA)
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below. Having read, watched, and presented deep learning material over the past few years, I have to say that this is one of the best collection of introductory deep learning talks I've yet encountered. Here are links to the individual talks and the full live streams for the two days: 1. Foundations of Deep Learning (Hugo Larochelle, Twitter) - https://youtu.be/zij_FTbJHsk 2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) - ht...
published: 27 Sep 2016 -
How to Install Theano on Python
http://www.t3so.com
published: 24 Jul 2019 -
Theano || The Hidden Genius Behind Pythagoras
Discover the untold story of Theano, the brilliant wife of Pythagoras. More than a partner, she was a pioneer in mathematics and philosophy, refining the famous "Golden Mean" and leading the Pythagorean school after his death. Her wisdom and leadership quietly shaped a legacy that changed the world, proving she was a genius in her own right. #TheanoLegacy #WomenInHistory #PythagoreanWisdom
published: 25 Dec 2024 -
Understanding Deep Learning with Theano
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. The aim of deep learning is to develop deep neural networks by increasing and improving the number of training layers for each network, so that a machine learns more about the data until it’s as accurate as possible. Developers can avail the techniques provided by deep learning to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition. Deep learning is the next step to machine learning with a more advanced implementation. Currently, it’s not established as an industry standard, but is heading in t...
published: 27 Feb 2017
3:22
Theano - Ep. 17 (Deep Learning SIMPLIFIED)
- Order: Reorder
- Duration: 3:22
- Uploaded Date: 12 Jan 2016
- views: 75251
Theano is a Python library that defines a set of mathematical functions for building deep nets. Nets that use these functions as their building blocks will be h...
Theano is a Python library that defines a set of mathematical functions for building deep nets. Nets that use these functions as their building blocks will be highly optimized for training.
Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv
The core feature of Theano is the use of vectors and matrices for all of its functions. Vectorized code runs quickly since multiple values can be processed in parallel. Since Deep Nets require large amounts of computation throughout the training process, vectorization is a highly-recommended feature. Theano is multi-threaded with GPU support, so deep nets can be trained on just a single machine within a reasonable amount of time.
To use Theano for Deep Learning, you must code every aspect of a deep net including the layers, the nodes, the activation, and the training rate. However, all the functions that run your code will be vectorized, resulting in an efficient implementation. Many software libraries extend Theano, making it easier to use in your projects. The Blocks library helps by parameterizing Theano functions. The Lasagne library allows you to specify hyper-parameters in order to build a net layer by layer. Niche libraries like Passage help implement recurrent nets for text analysis.
Do you have experience coding neural nets with the Theano library? Please comment and share your thoughts.
Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelancers/~0147b8991909b20fca
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
https://wn.com/Theano_Ep._17_(Deep_Learning_Simplified)
Theano is a Python library that defines a set of mathematical functions for building deep nets. Nets that use these functions as their building blocks will be highly optimized for training.
Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv
The core feature of Theano is the use of vectors and matrices for all of its functions. Vectorized code runs quickly since multiple values can be processed in parallel. Since Deep Nets require large amounts of computation throughout the training process, vectorization is a highly-recommended feature. Theano is multi-threaded with GPU support, so deep nets can be trained on just a single machine within a reasonable amount of time.
To use Theano for Deep Learning, you must code every aspect of a deep net including the layers, the nodes, the activation, and the training rate. However, all the functions that run your code will be vectorized, resulting in an efficient implementation. Many software libraries extend Theano, making it easier to use in your projects. The Blocks library helps by parameterizing Theano functions. The Lasagne library allows you to specify hyper-parameters in order to build a net layer by layer. Niche libraries like Passage help implement recurrent nets for text analysis.
Do you have experience coding neural nets with the Theano library? Please comment and share your thoughts.
Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelancers/~0147b8991909b20fca
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
7:45
Theano vs TensorFlow | Deep Learning Frameworks Compared | Edureka
- Order: Reorder
- Duration: 7:45
- Uploaded Date: 13 Aug 2019
- views: 9535
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka video will provide you with a crisp com...
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka video will provide you with a crisp comparison between the two Deep Learning Frameworks - Theano and TensorFlow and will help you choose the right one for yourself.
Subscribe to our channel to get video updates. Hit the subscribe button above https://goo.gl/6ohpTV
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
#tensorflow #theano #deeplearning #machinelearning #frameworks
- - - - - - - - - - - - - -
How does it work?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.
-------------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
https://wn.com/Theano_Vs_Tensorflow_|_Deep_Learning_Frameworks_Compared_|_Edureka
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka video will provide you with a crisp comparison between the two Deep Learning Frameworks - Theano and TensorFlow and will help you choose the right one for yourself.
Subscribe to our channel to get video updates. Hit the subscribe button above https://goo.gl/6ohpTV
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
#tensorflow #theano #deeplearning #machinelearning #frameworks
- - - - - - - - - - - - - -
How does it work?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.
-------------------------------------
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you.
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775 (toll-free).
- published: 13 Aug 2019
- views: 9535
8:10
Introduction to Theano
- Order: Reorder
- Duration: 8:10
- Uploaded Date: 23 Mar 2016
- views: 5380
This video gives an introduction to theano and runs the first theano program in spyder.
This video gives an introduction to theano and runs the first theano program in spyder.
https://wn.com/Introduction_To_Theano
This video gives an introduction to theano and runs the first theano program in spyder.
- published: 23 Mar 2016
- views: 5380
0:40
What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)
- Order: Reorder
- Duration: 0:40
- Uploaded Date: 27 Nov 2018
- views: 736
#Theano(philosopher) #audioversity
~~~ Theano (philosopher) ~~~
Title: What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)...
#Theano(philosopher) #audioversity
~~~ Theano (philosopher) ~~~
Title: What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)
Created on: 2018-11-27
Source Link: https://en.wikipedia.org/wiki/Theano_(philosopher)
------
Description: Theano , or Theano of Crotone, is the name given to perhaps two Pythagorean philosophers. She has been called the pupil, daughter or wife of Pythagoras, although others made her the wife of Brontinus. Her place of birth and the identity of her father are just as uncertain, leading some authors to suggest that there was more than one person whose details have become merged . A few fragments and letters ascribed to her have survived which are of uncertain authorship.
------
To see your favorite topic here, fill out this request form: https://docs.google.com/forms/d/e/1FAIpQLScU0dLbeWsc01IC0AaO8sgaSgxMFtvBL31c_pjnwEZUiq99Fw/viewform
------
Source: Wikipedia.org articles, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
Support: Donations can be made from https://wikimediafoundation.org/wiki/Ways_to_Give to support Wikimedia Foundation and knowledge sharing.
https://wn.com/What_Is_Theano_(Philosopher)_,_Explain_Theano_(Philosopher),_Define_Theano_(Philosopher)
#Theano(philosopher) #audioversity
~~~ Theano (philosopher) ~~~
Title: What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)
Created on: 2018-11-27
Source Link: https://en.wikipedia.org/wiki/Theano_(philosopher)
------
Description: Theano , or Theano of Crotone, is the name given to perhaps two Pythagorean philosophers. She has been called the pupil, daughter or wife of Pythagoras, although others made her the wife of Brontinus. Her place of birth and the identity of her father are just as uncertain, leading some authors to suggest that there was more than one person whose details have become merged . A few fragments and letters ascribed to her have survived which are of uncertain authorship.
------
To see your favorite topic here, fill out this request form: https://docs.google.com/forms/d/e/1FAIpQLScU0dLbeWsc01IC0AaO8sgaSgxMFtvBL31c_pjnwEZUiq99Fw/viewform
------
Source: Wikipedia.org articles, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license.
Support: Donations can be made from https://wikimediafoundation.org/wiki/Ways_to_Give to support Wikimedia Foundation and knowledge sharing.
- published: 27 Nov 2018
- views: 736
1:06
Secrets of Theano of Croton's Timeless Teachings
- Order: Reorder
- Duration: 1:06
- Uploaded Date: 26 Apr 2024
- views: 28
Step into the world of ancient Greece and discover the timeless teachings of Theano of Croton a woman renowned for her intellect and influence. In this enlighte...
Step into the world of ancient Greece and discover the timeless teachings of Theano of Croton a woman renowned for her intellect and influence. In this enlightening YouTube Shorts video, we explore 10 empowering teachings inspired by Theano of Croton wisdom and legacy.
Join us as we delve into the principles that shaped Aspasia's worldview and continue to resonate in today's world. From empowerment through education to embracing diversity and promoting equality, each teaching reflects Theano’s commitment to fostering intellectual growth, compassion, and personal integrity.
Through captivating visuals and concise narration, this Shorts video offers a glimpse into the profound insights of Theona, encouraging viewers to reflect on how her teachings can inspire positive change in their own lives.
https://wn.com/Secrets_Of_Theano_Of_Croton's_Timeless_Teachings
Step into the world of ancient Greece and discover the timeless teachings of Theano of Croton a woman renowned for her intellect and influence. In this enlightening YouTube Shorts video, we explore 10 empowering teachings inspired by Theano of Croton wisdom and legacy.
Join us as we delve into the principles that shaped Aspasia's worldview and continue to resonate in today's world. From empowerment through education to embracing diversity and promoting equality, each teaching reflects Theano’s commitment to fostering intellectual growth, compassion, and personal integrity.
Through captivating visuals and concise narration, this Shorts video offers a glimpse into the profound insights of Theona, encouraging viewers to reflect on how her teachings can inspire positive change in their own lives.
- published: 26 Apr 2024
- views: 28
5:19
THEANO AND CNTK
- Order: Reorder
- Duration: 5:19
- Uploaded Date: 26 Apr 2024
- views: 145
Decoding Theano & CNTK: A Deep Dive into Neural Networks by lalitha's Workspace
OUTLINE:
Introduction and Question 00:00:00
Explaining Theano 00:00:33
Expl...
Decoding Theano & CNTK: A Deep Dive into Neural Networks by lalitha's Workspace
OUTLINE:
Introduction and Question 00:00:00
Explaining Theano 00:00:33
Explaining CNTK 00:02:04
Summary and Conclusion 00:03:34
https://wn.com/Theano_And_Cntk
Decoding Theano & CNTK: A Deep Dive into Neural Networks by lalitha's Workspace
OUTLINE:
Introduction and Question 00:00:00
Explaining Theano 00:00:33
Explaining CNTK 00:02:04
Summary and Conclusion 00:03:34
- published: 26 Apr 2024
- views: 145
1:03:26
Theano Tutorial (Pascal Lamblin, MILA)
- Order: Reorder
- Duration: 1:03:26
- Uploaded Date: 27 Sep 2016
- views: 9149
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to ea...
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below.
Having read, watched, and presented deep learning material over the past few years, I have to say that this is one of the best collection of introductory deep learning talks I've yet encountered. Here are links to the individual talks and the full live streams for the two days:
1. Foundations of Deep Learning (Hugo Larochelle, Twitter) - https://youtu.be/zij_FTbJHsk
2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) - https://youtu.be/u6aEYuemt0M
3. Deep Learning for Natural Language Processing (Richard Socher, Salesforce) - https://youtu.be/oGk1v1jQITw
4. TensorFlow Tutorial (Sherry Moore, Google Brain) - https://youtu.be/Ejec3ID_h0w
5. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU) - https://youtu.be/rK6bchqeaN8
6. Nuts and Bolts of Applying Deep Learning (Andrew Ng) - https://youtu.be/F1ka6a13S9I
7. Deep Reinforcement Learning (John Schulman, OpenAI) - https://youtu.be/PtAIh9KSnjo
8. Theano Tutorial (Pascal Lamblin, MILA) - https://youtu.be/OU8I1oJ9HhI
9. Deep Learning for Speech Recognition (Adam Coates, Baidu) - https://youtu.be/g-sndkf7mCs
10. Torch Tutorial (Alex Wiltschko, Twitter) - https://youtu.be/L1sHcj3qDNc
11. Sequence to Sequence Deep Learning (Quoc Le, Google) - https://youtu.be/G5RY_SUJih4
12. Foundations and Challenges of Deep Learning (Yoshua Bengio) - https://youtu.be/11rsu_WwZTc
Full Day Live Streams:
Day 1: https://youtu.be/eyovmAtoUx0
Day 2: https://youtu.be/9dXiAecyJrY
Go to http://www.bayareadlschool.org for more information on the event, speaker bios, slides, etc. Huge thanks to the organizers (Shubho Sengupta et al) for making this event happen.
https://wn.com/Theano_Tutorial_(Pascal_Lamblin,_Mila)
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below.
Having read, watched, and presented deep learning material over the past few years, I have to say that this is one of the best collection of introductory deep learning talks I've yet encountered. Here are links to the individual talks and the full live streams for the two days:
1. Foundations of Deep Learning (Hugo Larochelle, Twitter) - https://youtu.be/zij_FTbJHsk
2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) - https://youtu.be/u6aEYuemt0M
3. Deep Learning for Natural Language Processing (Richard Socher, Salesforce) - https://youtu.be/oGk1v1jQITw
4. TensorFlow Tutorial (Sherry Moore, Google Brain) - https://youtu.be/Ejec3ID_h0w
5. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU) - https://youtu.be/rK6bchqeaN8
6. Nuts and Bolts of Applying Deep Learning (Andrew Ng) - https://youtu.be/F1ka6a13S9I
7. Deep Reinforcement Learning (John Schulman, OpenAI) - https://youtu.be/PtAIh9KSnjo
8. Theano Tutorial (Pascal Lamblin, MILA) - https://youtu.be/OU8I1oJ9HhI
9. Deep Learning for Speech Recognition (Adam Coates, Baidu) - https://youtu.be/g-sndkf7mCs
10. Torch Tutorial (Alex Wiltschko, Twitter) - https://youtu.be/L1sHcj3qDNc
11. Sequence to Sequence Deep Learning (Quoc Le, Google) - https://youtu.be/G5RY_SUJih4
12. Foundations and Challenges of Deep Learning (Yoshua Bengio) - https://youtu.be/11rsu_WwZTc
Full Day Live Streams:
Day 1: https://youtu.be/eyovmAtoUx0
Day 2: https://youtu.be/9dXiAecyJrY
Go to http://www.bayareadlschool.org for more information on the event, speaker bios, slides, etc. Huge thanks to the organizers (Shubho Sengupta et al) for making this event happen.
- published: 27 Sep 2016
- views: 9149
0:49
How to Install Theano on Python
- Order: Reorder
- Duration: 0:49
- Uploaded Date: 24 Jul 2019
- views: 619
http://www.t3so.com
http://www.t3so.com
https://wn.com/How_To_Install_Theano_On_Python
http://www.t3so.com
- published: 24 Jul 2019
- views: 619
2:10
Theano || The Hidden Genius Behind Pythagoras
- Order: Reorder
- Duration: 2:10
- Uploaded Date: 25 Dec 2024
- views: 192
Discover the untold story of Theano, the brilliant wife of Pythagoras. More than a partner, she was a pioneer in mathematics and philosophy, refining the famous...
Discover the untold story of Theano, the brilliant wife of Pythagoras. More than a partner, she was a pioneer in mathematics and philosophy, refining the famous "Golden Mean" and leading the Pythagorean school after his death. Her wisdom and leadership quietly shaped a legacy that changed the world, proving she was a genius in her own right.
#TheanoLegacy
#WomenInHistory
#PythagoreanWisdom
https://wn.com/Theano_||_The_Hidden_Genius_Behind_Pythagoras
Discover the untold story of Theano, the brilliant wife of Pythagoras. More than a partner, she was a pioneer in mathematics and philosophy, refining the famous "Golden Mean" and leading the Pythagorean school after his death. Her wisdom and leadership quietly shaped a legacy that changed the world, proving she was a genius in her own right.
#TheanoLegacy
#WomenInHistory
#PythagoreanWisdom
- published: 25 Dec 2024
- views: 192
5:05
Understanding Deep Learning with Theano
- Order: Reorder
- Duration: 5:05
- Uploaded Date: 27 Feb 2017
- views: 2114
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural l...
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. The aim of deep learning is to develop deep neural networks by increasing and improving the number of training layers for each network, so that a machine learns more about the data until it’s as accurate as possible. Developers can avail the techniques provided by deep learning to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition.
Deep learning is the next step to machine learning with a more advanced implementation. Currently, it’s not established as an industry standard, but is heading in that direction and brings a strong promise of being a game changer when dealing with raw unstructured data. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language processing. Developers can avail the benefits of building AI programs that, instead of using hand coded rules, learn from examples how to solve complicated tasks. With deep learning being used by many data scientists, deeper neural networks are evaluated for accurate results.
This course takes you from basic calculus knowledge to understanding backpropagation and its application for training in neural networks for deep learning and understand automatic differentiation. Through the course, we will cover thorough training in convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. Also, we will examine the performance of the sentimental analysis model and will conclude with the introduction of Tensorflow.
By the end of this course, you can start working with deep learning right away. This course will make you confident about its implementation in your current work as well as further research.
https://wn.com/Understanding_Deep_Learning_With_Theano
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. The aim of deep learning is to develop deep neural networks by increasing and improving the number of training layers for each network, so that a machine learns more about the data until it’s as accurate as possible. Developers can avail the techniques provided by deep learning to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition.
Deep learning is the next step to machine learning with a more advanced implementation. Currently, it’s not established as an industry standard, but is heading in that direction and brings a strong promise of being a game changer when dealing with raw unstructured data. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language processing. Developers can avail the benefits of building AI programs that, instead of using hand coded rules, learn from examples how to solve complicated tasks. With deep learning being used by many data scientists, deeper neural networks are evaluated for accurate results.
This course takes you from basic calculus knowledge to understanding backpropagation and its application for training in neural networks for deep learning and understand automatic differentiation. Through the course, we will cover thorough training in convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. Also, we will examine the performance of the sentimental analysis model and will conclude with the introduction of Tensorflow.
By the end of this course, you can start working with deep learning right away. This course will make you confident about its implementation in your current work as well as further research.
- published: 27 Feb 2017
- views: 2114
PLAYLIST TIME:
PLAYLIST TIME:
3:22
Theano - Ep. 17 (Deep Learning SIMPLIFIED)
Theano is a Python library that defines a set of mathematical functions for building deep ...
published: 12 Jan 2016
Theano - Ep. 17 (Deep Learning SIMPLIFIED)
Theano - Ep. 17 (Deep Learning SIMPLIFIED)
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- published: 12 Jan 2016
- views: 75251
Theano is a Python library that defines a set of mathematical functions for building deep nets. Nets that use these functions as their building blocks will be highly optimized for training.
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The core feature of Theano is the use of vectors and matrices for all of its functions. Vectorized code runs quickly since multiple values can be processed in parallel. Since Deep Nets require large amounts of computation throughout the training process, vectorization is a highly-recommended feature. Theano is multi-threaded with GPU support, so deep nets can be trained on just a single machine within a reasonable amount of time.
To use Theano for Deep Learning, you must code every aspect of a deep net including the layers, the nodes, the activation, and the training rate. However, all the functions that run your code will be vectorized, resulting in an efficient implementation. Many software libraries extend Theano, making it easier to use in your projects. The Blocks library helps by parameterizing Theano functions. The Lasagne library allows you to specify hyper-parameters in order to build a net layer by layer. Niche libraries like Passage help implement recurrent nets for text analysis.
Do you have experience coding neural nets with the Theano library? Please comment and share your thoughts.
Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelancers/~0147b8991909b20fca
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
7:45
Theano vs TensorFlow | Deep Learning Frameworks Compared | Edureka
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-w...
published: 13 Aug 2019
Theano vs TensorFlow | Deep Learning Frameworks Compared | Edureka
Theano vs TensorFlow | Deep Learning Frameworks Compared | Edureka
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- published: 13 Aug 2019
- views: 9535
** AI & Deep Learning with Tensorflow Training: https://www.edureka.co/ai-deep-learning-with-tensorflow **
This Edureka video will provide you with a crisp comparison between the two Deep Learning Frameworks - Theano and TensorFlow and will help you choose the right one for yourself.
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Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE
#tensorflow #theano #deeplearning #machinelearning #frameworks
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How does it work?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course.
- - - - - - - - - - - - - -
Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio.
- - - - - - - - - - - - - -
Why Learn Deep Learning With TensorFlow?
TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning.
Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world.
-------------------------------------
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8:10
Introduction to Theano
This video gives an introduction to theano and runs the first theano program in spyder.
published: 23 Mar 2016
Introduction to Theano
Introduction to Theano
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- published: 23 Mar 2016
- views: 5380
This video gives an introduction to theano and runs the first theano program in spyder.
0:40
What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)
#Theano(philosopher) #audioversity
~~~ Theano (philosopher) ~~~
Title: What is Theano (ph...
published: 27 Nov 2018
What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)
What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)
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- published: 27 Nov 2018
- views: 736
#Theano(philosopher) #audioversity
~~~ Theano (philosopher) ~~~
Title: What is Theano (philosopher)?, Explain Theano (philosopher), Define Theano (philosopher)
Created on: 2018-11-27
Source Link: https://en.wikipedia.org/wiki/Theano_(philosopher)
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Description: Theano , or Theano of Crotone, is the name given to perhaps two Pythagorean philosophers. She has been called the pupil, daughter or wife of Pythagoras, although others made her the wife of Brontinus. Her place of birth and the identity of her father are just as uncertain, leading some authors to suggest that there was more than one person whose details have become merged . A few fragments and letters ascribed to her have survived which are of uncertain authorship.
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1:06
Secrets of Theano of Croton's Timeless Teachings
Step into the world of ancient Greece and discover the timeless teachings of Theano of Cro...
published: 26 Apr 2024
Secrets of Theano of Croton's Timeless Teachings
Secrets of Theano of Croton's Timeless Teachings
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- published: 26 Apr 2024
- views: 28
Step into the world of ancient Greece and discover the timeless teachings of Theano of Croton a woman renowned for her intellect and influence. In this enlightening YouTube Shorts video, we explore 10 empowering teachings inspired by Theano of Croton wisdom and legacy.
Join us as we delve into the principles that shaped Aspasia's worldview and continue to resonate in today's world. From empowerment through education to embracing diversity and promoting equality, each teaching reflects Theano’s commitment to fostering intellectual growth, compassion, and personal integrity.
Through captivating visuals and concise narration, this Shorts video offers a glimpse into the profound insights of Theona, encouraging viewers to reflect on how her teachings can inspire positive change in their own lives.
5:19
THEANO AND CNTK
Decoding Theano & CNTK: A Deep Dive into Neural Networks by lalitha's Workspace
OUTLINE: ...
published: 26 Apr 2024
THEANO AND CNTK
THEANO AND CNTK
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- published: 26 Apr 2024
- views: 145
Decoding Theano & CNTK: A Deep Dive into Neural Networks by lalitha's Workspace
OUTLINE:
Introduction and Question 00:00:00
Explaining Theano 00:00:33
Explaining CNTK 00:02:04
Summary and Conclusion 00:03:34
1:03:26
Theano Tutorial (Pascal Lamblin, MILA)
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out...
published: 27 Sep 2016
Theano Tutorial (Pascal Lamblin, MILA)
Theano Tutorial (Pascal Lamblin, MILA)
- Report rights infringement
- published: 27 Sep 2016
- views: 9149
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below.
Having read, watched, and presented deep learning material over the past few years, I have to say that this is one of the best collection of introductory deep learning talks I've yet encountered. Here are links to the individual talks and the full live streams for the two days:
1. Foundations of Deep Learning (Hugo Larochelle, Twitter) - https://youtu.be/zij_FTbJHsk
2. Deep Learning for Computer Vision (Andrej Karpathy, OpenAI) - https://youtu.be/u6aEYuemt0M
3. Deep Learning for Natural Language Processing (Richard Socher, Salesforce) - https://youtu.be/oGk1v1jQITw
4. TensorFlow Tutorial (Sherry Moore, Google Brain) - https://youtu.be/Ejec3ID_h0w
5. Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU) - https://youtu.be/rK6bchqeaN8
6. Nuts and Bolts of Applying Deep Learning (Andrew Ng) - https://youtu.be/F1ka6a13S9I
7. Deep Reinforcement Learning (John Schulman, OpenAI) - https://youtu.be/PtAIh9KSnjo
8. Theano Tutorial (Pascal Lamblin, MILA) - https://youtu.be/OU8I1oJ9HhI
9. Deep Learning for Speech Recognition (Adam Coates, Baidu) - https://youtu.be/g-sndkf7mCs
10. Torch Tutorial (Alex Wiltschko, Twitter) - https://youtu.be/L1sHcj3qDNc
11. Sequence to Sequence Deep Learning (Quoc Le, Google) - https://youtu.be/G5RY_SUJih4
12. Foundations and Challenges of Deep Learning (Yoshua Bengio) - https://youtu.be/11rsu_WwZTc
Full Day Live Streams:
Day 1: https://youtu.be/eyovmAtoUx0
Day 2: https://youtu.be/9dXiAecyJrY
Go to http://www.bayareadlschool.org for more information on the event, speaker bios, slides, etc. Huge thanks to the organizers (Shubho Sengupta et al) for making this event happen.
0:49
How to Install Theano on Python
http://www.t3so.com
published: 24 Jul 2019
How to Install Theano on Python
How to Install Theano on Python
- Report rights infringement
- published: 24 Jul 2019
- views: 619
http://www.t3so.com
2:10
Theano || The Hidden Genius Behind Pythagoras
Discover the untold story of Theano, the brilliant wife of Pythagoras. More than a partner...
published: 25 Dec 2024
Theano || The Hidden Genius Behind Pythagoras
Theano || The Hidden Genius Behind Pythagoras
- Report rights infringement
- published: 25 Dec 2024
- views: 192
Discover the untold story of Theano, the brilliant wife of Pythagoras. More than a partner, she was a pioneer in mathematics and philosophy, refining the famous "Golden Mean" and leading the Pythagorean school after his death. Her wisdom and leadership quietly shaped a legacy that changed the world, proving she was a genius in her own right.
#TheanoLegacy
#WomenInHistory
#PythagoreanWisdom
5:05
Understanding Deep Learning with Theano
Deep learning is currently one of the best providers of solutions regarding problems in im...
published: 27 Feb 2017
Understanding Deep Learning with Theano
Understanding Deep Learning with Theano
- Report rights infringement
- published: 27 Feb 2017
- views: 2114
Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python. The aim of deep learning is to develop deep neural networks by increasing and improving the number of training layers for each network, so that a machine learns more about the data until it’s as accurate as possible. Developers can avail the techniques provided by deep learning to accomplish complex machine learning tasks, and train AI networks to develop deep levels of perceptual recognition.
Deep learning is the next step to machine learning with a more advanced implementation. Currently, it’s not established as an industry standard, but is heading in that direction and brings a strong promise of being a game changer when dealing with raw unstructured data. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language processing. Developers can avail the benefits of building AI programs that, instead of using hand coded rules, learn from examples how to solve complicated tasks. With deep learning being used by many data scientists, deeper neural networks are evaluated for accurate results.
This course takes you from basic calculus knowledge to understanding backpropagation and its application for training in neural networks for deep learning and understand automatic differentiation. Through the course, we will cover thorough training in convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. Also, we will examine the performance of the sentimental analysis model and will conclude with the introduction of Tensorflow.
By the end of this course, you can start working with deep learning right away. This course will make you confident about its implementation in your current work as well as further research.
Theano (philosopher)
Theano (Greek: Θεανώ; fl. 6th-century BC) or Theano of Croton, is the name given to perhaps two Pythagorean philosophers. She has been called the pupil, daughter and wife of Pythagoras, although others made her the wife of Brontinus. Her place of birth and the identity of her father are just as uncertain, leading some authors to suggest that there was more than one person whose details have become merged (these are sometimes referred to as Theano I and Theano II). A few fragments and letters ascribed to her have survived which are of uncertain authorship.
Life
Little is known about the life of Theano, and the ancient sources are confused. According to one tradition, she came from Crete and was the daughter of Pythonax, but others said she came from Croton and was the daughter of Brontinus. She was said by many to have been the wife of Pythagoras, although another tradition made her the wife of Brontinus.Iamblichus, in an attempt to resolve the confusion, refers to Deino as the wife of Brontinus.
This page contains text from Wikipedia, the Free Encyclopedia - https://wn.com/Theano_(philosopher)
Theano - Ep. 17 (Deep Learning SIMPLIFIED)...
Theano vs TensorFlow | Deep Learning Frameworks C...
Introduction to Theano...
What is Theano (philosopher)?, Explain Theano (phi...
Secrets of Theano of Croton's Timeless Teachings...
THEANO AND CNTK...
Theano Tutorial (Pascal Lamblin, MILA)...
How to Install Theano on Python...
Theano || The Hidden Genius Behind Pythagoras...
