An online TensorFlow handbook (https://tf.wiki/ ) based on Eager Execution
(Both Chinese and English version are available online)
Open-sourced on GitHub : https://github.com/snowkylin/TensorFlow-cn
(Both Chinese and English version are available online)
Open-sourced on GitHub : https://github.com/snowkylin/TensorFlow-cn
Deep Reinforcement Learning
CS 294-112 at UC Berkeley | Instructor Sergey Levine
Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/
CS 294-112 at UC Berkeley | Instructor Sergey Levine
Lecture Slides : https://rail.eecs.berkeley.edu/deeprlcourse/
How to write a great research paper
چگونه یک مقاله خوب بنویسید تهیه شده توسط Nando de Freitas و شرکت DeepMind و دانشگاه نیویورک و....
https://goo.gl/HeanCW @ArtificialIntelligenceArticles
چگونه یک مقاله خوب بنویسید تهیه شده توسط Nando de Freitas و شرکت DeepMind و دانشگاه نیویورک و....
https://goo.gl/HeanCW @ArtificialIntelligenceArticles
ArtificialIntelligenceArticles
How to write a great research paper چگونه یک مقاله خوب بنویسید تهیه شده توسط Nando de Freitas و شرکت DeepMind و دانشگاه نیویورک و.... https://goo.gl/HeanCW @ArtificialIntelligenceArticles
YouTube
How to Write a Great Research Paper
Writing papers and giving talks are key skills for any researcher, but they aren’t easy. In this pair of presentations, I’ll describe simple guidelines that I follow for writing papers and giving talks, which I think may be useful to you too. I don’t have…
AI + Aerospace | Cosmology | Physics
A few useful references : https://goo.gl/gMQru4 #References
#aerospace #artificialintelligence #cosmology
A few useful references : https://goo.gl/gMQru4 #References
#aerospace #artificialintelligence #cosmology
Dynamical, symplectic and stochastic perspectives on optimization
Michael Jordan – ICM2018 : https://youtu.be/wXNWVhE2Dl4 @ArtificialIntelligenceArticles
Michael Jordan – ICM2018 : https://youtu.be/wXNWVhE2Dl4 @ArtificialIntelligenceArticles
The mathematics of machine learning and deep learning – Sanjeev Arora – ICM2018 https://goo.gl/vj2yCF @ArtificialIntelligenceArticles
Why building your own Deep Learning computer is 10x cheaper than AWS
https://goo.gl/4ZbUf8 @ArtificialIntelligenceArticles
https://goo.gl/4ZbUf8 @ArtificialIntelligenceArticles
Speech and Language Processing (3rd ed. draft)
Dan Jurafsky and James H. Martin : https://web.stanford.edu/~jurafsky/slp3/
Dan Jurafsky and James H. Martin : https://web.stanford.edu/~jurafsky/slp3/
Series of Jupyter Notebooks with step-by-step introduction to data science and machine learning
Code : https://github.com/rasbt/python-machine-learning-book-2nd-edition
Code : https://github.com/rasbt/python-machine-learning-book-2nd-edition
Computer Vision dataset search
visualdata.io is a great resource for exploring computer vision datasets : https://www.visualdata.io/
visualdata.io is a great resource for exploring computer vision datasets : https://www.visualdata.io/
ICLR 2019 submission is closed and papers are now available to view
Nearly 1600 submissions received: https://openreview.net/group?id=ICLR.cc%2F2019%2FConference
Nearly 1600 submissions received: https://openreview.net/group?id=ICLR.cc%2F2019%2FConference
#iclr2019
Some early keyword analysis and topic modeling:
https://colab.research.google.com/drive/1jG5ilLQUvxvZ-HB60ovc4Ve_UK5ICoFT
Some early keyword analysis and topic modeling:
https://colab.research.google.com/drive/1jG5ilLQUvxvZ-HB60ovc4Ve_UK5ICoFT
Rules of Machine Learning: Best Practices for ML Engineering
By Martin Zinkevich: https://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
By Martin Zinkevich: https://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf
TherML: The Thermodynamics of Machine Learning
Anonymous: https://openreview.net/forum?id=HJeQToAqKQ¬eId=HJeQToAqKQ @ArtificialIntelligenceArticles
Anonymous: https://openreview.net/forum?id=HJeQToAqKQ¬eId=HJeQToAqKQ @ArtificialIntelligenceArticles
Understanding & Generalizing AlphaGo Zero #ICLR2019
Anonymous: https://openreview.net/forum?id=rkxtl3C5YX
Anonymous: https://openreview.net/forum?id=rkxtl3C5YX
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks [106pp]
Reviews recent literature in a comprehensive way, and provides an in-depth view of recent advances, current challenges, problem extensions and datasets.
https://arxiv.org/abs/1809.03193 @ArtificialIntelligenceArticles
Reviews recent literature in a comprehensive way, and provides an in-depth view of recent advances, current challenges, problem extensions and datasets.
https://arxiv.org/abs/1809.03193 @ArtificialIntelligenceArticles
RTX 2080 Ti Deep Learning Benchmarks
https://lambdalabs.com/blog/2080-ti-deep-learning-benchmarks/
https://lambdalabs.com/blog/2080-ti-deep-learning-benchmarks/
How to train your MAML
By Anonymous: https://openreview.net/forum?id=HJGven05Y7
'TL;DR: MAML is great, but it has many problems, we solve many of those problems and as a result we learn most hyper parameters end to end, speed-up training and inference and set a new SOTA in few-shot learning'
#metalearning #deeplearning #fewshotlearning
By Anonymous: https://openreview.net/forum?id=HJGven05Y7
'TL;DR: MAML is great, but it has many problems, we solve many of those problems and as a result we learn most hyper parameters end to end, speed-up training and inference and set a new SOTA in few-shot learning'
#metalearning #deeplearning #fewshotlearning
OpenReview
How to train your MAML
MAML is great, but it has many problems, we solve many of those problems and as a result we learn most hyper parameters end to end, speed-up training and inference and set a new SOTA in few-shot...
"Large scale GAN training for high fidelity natural image synthesis":
Paper: https://openreview.net/pdf?id=B1xsqj09Fm
Samples:https://drive.google.com/drive/folders/1lWC6XEPD0LT5KUnPXeve_kWeY-FxH002
Paper: https://openreview.net/pdf?id=B1xsqj09Fm
Samples:https://drive.google.com/drive/folders/1lWC6XEPD0LT5KUnPXeve_kWeY-FxH002