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deep-learning-resources
A curated list of deep learning resources books, courses, papers, libraries, conferences, sample code, and many more.
https://github.com/datascienceid/deep-learning-resources
- Deep Learning by Yoshua Bengio, Ian Goodfellow and Aaron Courville
- Deep Learning by Microsoft Research
- Neural Networks and Deep Learning by Michael Nielsen
- Neuraltalk by Andrej Karpathy
- Neural Networks for Machine Learning
- Neural networks class
- Deep Learning Course
- A.I - Berkeley
- A.I - MIT
- Convolutional Neural Networks for Visual Recognition - Stanford
- Practical Deep Learning For Coders
- MIT 6.S191 Introduction to Deep Learning
- Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
- Recent Developments in Deep Learning
- The Unreasonable Effectiveness of Deep Learning
- Deep Learning of Representations
- Making Sense of the World with Deep Learning
- How Deep Neural Networks Work
- MIT 6.S191 Introduction to Deep Learning
- ImageNet Classification with Deep Convolutional Neural Networks
- Using Very Deep Autoencoders for Content Based Image Retrieval
- Learning Deep Architectures for AI
- Neural Networks for Named Entity Recognition
- Training tricks by YB
- How to Implement the Backpropagation Algorithm From Scratch In Python
- image classifier using convolutional neural network
- A Beginner’s Guide to Recurrent Networks and LSTMs
- Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
- Stochastic Gradient Descent (SGD) with Python
- A Guide to Deep Learning in PyTorch
- A Quick Introduction to Neural Networks
- An Intuitive Explanation of Convolutional Neural Networks
- Deep Learning with Python
- Deep Learning with TensorFlow
- Fundamentals of Deep Learning
- Introduction to Deep Learning Using R
- CIFAR-10 and CIFAR-100
- Google House Numbers
- IMAGENET
- MNIST
- Tiny Images
- Fashion-MNIST
- CVPR - IEEE Conference on Computer Vision and Pattern Recognition
- AAMAS - International Joint Conference on Autonomous Agents and Multiagent Systems
- IJCAI - International Joint Conference on Artificial Intelligence
- NIPS - Neural Information Processing Systems
- ICLR - International Conference on Learning Representations
- Tensorflow
- Keras - A high-level neural networks API running on top of TensorFlow, CNTK, or Theano
- Caffe
- Torch7
- Theano
- MXnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning framework
- TensorFlow.js - formerly known as deeplearn.js
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