|
|
@@ -40,6 +40,7 @@
|
|
|
7. [Artificial Intelligence: A Modern Approach](http://aima.cs.berkeley.edu/)
|
|
|
8. [Deep Learning in Neural Networks: An Overview](http://arxiv.org/pdf/1404.7828v4.pdf)
|
|
|
9. [Artificial intelligence and machine learning: Topic wise explanation](https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/)
|
|
|
+10. [Dive into Deep Learning](https://d2l.ai/) - numpy based interactive Deep Learning book
|
|
|
|
|
|
### Courses
|
|
|
|
|
|
@@ -74,6 +75,7 @@
|
|
|
28. [MIT Intro to Deep Learning 7 day bootcamp](https://introtodeeplearning.com) - A seven day bootcamp designed in MIT to introduce deep learning methods and applications (2019)
|
|
|
29. [Deep Blueberry: Deep Learning](https://mithi.github.io/deep-blueberry) - A free five-weekend plan to self-learners to learn the basics of deep-learning architectures like CNNs, LSTMs, RNNs, VAEs, GANs, DQN, A3C and more (2019)
|
|
|
30. [Spinning Up in Deep Reinforcement Learning](https://spinningup.openai.com/) - A free deep reinforcement learning course by OpenAI (2019)
|
|
|
+31. [Deep Learning - UC Berkeley | STAT-157](https://www.youtube.com/playlist?list=PLZSO_6-bSqHQHBCoGaObUljoXAyyqhpFW) by Alex Smola and Mu Li (2019)
|
|
|
|
|
|
### Videos and Lectures
|
|
|
|
|
|
@@ -477,7 +479,7 @@
|
|
|
29. [Tensorflow - Open source software library for numerical computation using data flow graphs](https://github.com/tensorflow/tensorflow)
|
|
|
30. [DMTK - Microsoft Distributed Machine Learning Tookit](https://github.com/Microsoft/DMTK)
|
|
|
31. [Scikit Flow - Simplified interface for TensorFlow (mimicking Scikit Learn)](https://github.com/google/skflow)
|
|
|
-32. [MXnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning framework](https://github.com/dmlc/mxnet/)
|
|
|
+32. [MXnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning framework](https://github.com/apache/incubator-mxnet)
|
|
|
33. [Veles - Samsung Distributed machine learning platform](https://github.com/Samsung/veles)
|
|
|
34. [Marvin - A Minimalist GPU-only N-Dimensional ConvNets Framework](https://github.com/PrincetonVision/marvin)
|
|
|
35. [Apache SINGA - A General Distributed Deep Learning Platform](http://singa.incubator.apache.org/)
|
Chaitanya Prakash Bapat