- Domingos article on machine learning
- Andrew Ng's Lecture 1 of his course at Stanford
- Andrew Ng's Lecture 2 of his course at Stanford (discusses autonomous vehicle)
- Big Think: 22 Ways Algorithms Know How You'll Behave Before You Do
- Big Think: Listen to These Odd Pop Songs Composed by a Computer
- Big Think: What Do a Robot's Dreams Look Like? Google Found Out
- crowdAI (Open data and competitions)
- Artificial Intelligence — The Revolution Hasn’t Happened Yet by Michael Jordan
- Calculus on Computational Graphs: Backpropagation
- Backpropagation and Neural Networks
- Adam: A Method for Stochastic Optimization
- An overview of gradient descent optimization algorithms by Sebastian Ruder
- Visualizing Optimization Algorithms
- A guide to convolution arithmetic for deep learning
- Gradient-Based Learning Applied to Document Recognition (LeNet-5)
- ImageNet Classification with Deep Convolutional Neural Networks (AlexNet)
- Going Deeper with Convolutions (GoogLeNet)
- Deep Residual Learning for Image Recognition (ResNet)
- 3D Visualization of a Convolutional Neural Network
- A Beginner's Guide to Understanding Convolutional Neural Networks
- UFLDL Tutorial on CNNs
- Conv Nets: A Modular Perspective
- Kingma and Welling. Autoencoding Variational Bayes, 2014
- Doersch. Tutorial on Variational Autoencoders, 2016
- Dillon et al. TensorFlow Distributions, 2017 [Overview of using the TensorFlow Distributions library for VAE, Autoregressive Flow, etc.]
- Normalizing Flows Tutorial
- Digit Fantasies by a Deep Generative Model
- Generative Adversarial Nets
- NIPS 2016 Tutorial: Generative Adversarial Networks
- Generate Photo-realistic Avatars with DCGAN
- Unsupervised representation learning with deep convolutional generative adversarial networks
- Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
- Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
- Building Autoencoders in Keras
- Supervised Sequence Labelling with Recurrent Neural Networks by A. Graves, 2012
- Recurrent Neural Networks Tutorial
- Neural Machine Translation
- Machine-generated screenplays
- Sunspring: A Sci-Fi Short Film Starring Thomas Middleditch
- It's No Game: A Sci-fi Short Film Starring David Hasselhoff
- Neural Machine Translation by Jointly Learning to Align and Translate
- TensorFlow: Neural Machine Translation (seq2seq) Tutorial
- Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
- Neural Machine Translation - Tutorial ACL 2016
- Effective Approaches to Attention-based Neural Machine Translation
- Understanding LSTM Networks
- The Unreasonable Effectiveness of Recurrent Neural Networks
- Creating A Text Generator Using Recurrent Neural Network
- Neural Turing Machines
- Reinforcement Learning: An Introduction, Second Edition by Sutton and Barto
- Reinforcement Learning: A Survey by Kaelbling et al.
- Temporal Difference Learning and TD-Gammon
- Human-level control through deep reinforcement learning [RL playing of Atari games]
- Playing Go
- AlphaGo: Mastering the game of Go with deep neural networks and tree search
- AlphaGo Zero: Mastering the game of Go without human knowledge
- AlphaZero: Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning [REINFORCE Algorithms]
- Monte-Carlo Tree Search: A New Framework for Game AI
- KGS Go Server
- DEEP REINFORCEMENT LEARNING: AN OVERVIEW
- DeepTraffic (self-driving cars)
- Cadillac Super Cruise
- DRIVERLESS CARS: GENERAL MOTORS DITCHES STEERING WHEEL AND PEDALS FOR NEW CAR
- Distributed Representations of Words and Phrases and their Compositionality
- TensorFlow word2vec tutorial
- Deep Learning for NLP
- How exactly does word2vec work?
- Linguistic Regularities in Continuous Space Word Representations
- Efficient Estimation of Word Representations in Vector Space
- Word2Vec, Doc2vec & GloVe: Neural Word Embeddings for Natural Language Processing
- Deep Learning Adversarial Examples—Clarifying Misconceptions
- Adversarial Examples and their implications—Deep Learning bits #3
- NIPS 2017: Defense Against Adversarial Attack
- Semantic Adversarial Examples
- Adversarial examples numeric example
