Table of Contents

• Papers

  • Bi-directional RNN
  • LSTM
  • Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
  • GFRNN - supp.pdf)
  • LSTM: A Search Space Odyssey
  • A Critical Review of Recurrent Neural Networks for Sequence Learning
  • Visualizing and Understanding Recurrent Networks
  • Recurrent Neural Network based Language Model
  • Extensions of Recurrent Neural Network Language Model
  • Recurrent Neural Network based Language Modeling in Meeting Recognition
  • Deep Neural Networks for Acoustic Modeling in Speech Recognition
  • Speech Recognition with Deep Recurrent Neural Networks
  • Microsoft - Jointly Modeling Embedding and Translation to Bridge Video and Language
  • Neural Turing Machines
  • Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
  • Mastering the Game of Go with Deep Neural Networks and Tree Search
  • Batch Normalization
  • Residual Learning
  • Berkeley AI Research (BAIR) Laboratory
  • MobileNets by Google
  • Cross Audio-Visual Recognition in the Wild Using Deep Learning
  • Dynamic Routing Between Capsules
  • Matrix Capsules With Em Routing
  • Efficient BackProp
  • Policy Learning with Continuous Memory States for Partially Observed Robotic Control
  • Memory Networks
  • Reinforcement Learning Neural Turing Machines
  • Recursive Deep Learning for Natural Language Processing and Computer Vision
  • Using Very Deep Autoencoders for Content Based Image Retrieval
  • Learning Deep Architectures for AI
  • Geoff Hinton's reading list (all papers)
  • Supervised Sequence Labelling with Recurrent Neural Networks
  • Training Recurrent Neural Networks
  • Deep Neural Networks for Acoustic Modeling in Speech Recognition
  • Speech Recognition with Deep Recurrent Neural Networks
  • Google - Sequence to Sequence Learning with Neural Networks
  • Efficient BackProp
  • ImageNet Classification with Deep Convolutional Neural Networks
  • Image-to-Image Translation with Conditional Adversarial Networks
  • GFRNN - supp.pdf)
  • LSTM: A Search Space Odyssey
  • A Critical Review of Recurrent Neural Networks for Sequence Learning
  • Visualizing and Understanding Recurrent Networks
  • Reinforcement Learning Neural Turing Machines
  • Memory Networks
  • Policy Learning with Continuous Memory States for Partially Observed Robotic Control
  • Microsoft - Jointly Modeling Embedding and Translation to Bridge Video and Language
  • Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
  • Neural Networks for Named Entity Recognition - ner.zip)
  • Microsoft - Jointly Modeling Embedding and Translation to Bridge Video and Language
  • Recurrent Neural Network based Language Model
  • Extensions of Recurrent Neural Network Language Model
  • Recurrent Neural Network based Language Modeling in Meeting Recognition

• Tutorials

  • Theano Tutorial
  • UFLDL Tutorial 1
  • UFLDL Tutorial 2
  • Neural Networks for Matlab
  • Torch7 Tutorials
  • VGG Convolutional Neural Networks Practical
  • Deep Learning with Python
  • Grokking Deep Learning
  • Deep Learning for Search
  • Deep Learning from the Bottom up
  • UFLDL Tutorial 2
  • The Best Machine Learning Tutorials On The Web
  • TensorFlow tutorials
  • More TensorFlow tutorials
  • TensorFlow Python Notebooks
  • Keras and Lasagne Deep Learning Tutorials
  • Classification on raw time series in TensorFlow with a LSTM RNN
  • TensorFlow-World
  • Pytorch Tutorial by Yunjey Choi
  • A Deep Learning Tutorial: From Perceptrons to Deep Networks
  • Keras Tutorial: Content Based Image Retrieval Using a Convolutional Denoising Autoencoder

• Videos and Lectures

  • How To Create A Mind
  • Deep Learning, Self-Taught Learning and Unsupervised Feature Learning
  • Recent Developments in Deep Learning
  • The Unreasonable Effectiveness of Deep Learning
  • Deep Learning of Representations
  • Principles of Hierarchical Temporal Memory
  • Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab
  • Making Sense of the World with Deep Learning
  • Demystifying Unsupervised Feature Learning
  • Visual Perception with Deep Learning
  • The Next Generation of Neural Networks
  • Unsupervised Deep Learning - Stanford
  • Natural Language Processing
  • Deep Learning: Intelligence from Big Data
  • Introduction to Artificial Neural Networks and Deep Learning
  • NIPS 2016 lecture and workshop videos - NIPS 2016
  • Deep Learning Crash Course - lectures by Leo Isikdogan on YouTube (2018)
  • A beginners Guide to Deep Neural Networks
  • Unsupervised Deep Learning - Stanford
  • Recent Developments in Deep Learning
  • Machine Learning Discussion Group - Deep Learning w/ Stanford AI Lab
  • Deep Learning Crash Course - lectures by Leo Isikdogan on YouTube (2018)
  • The wonderful and terrifying implications of computers that can learn
  • Making Sense of the World with Deep Learning