Tutorials / Courses

Videos / Talks

Selected Papers


Fundamentals

Practical Tricks

Autoencoders

Convolutional Neural Networks

Recurrent Neural Networks

Image Classification

Visualization and Inversion

Object Detection

Semantic Segmentation

Visual Captioning and Question-Answering

Optimization

Regularization

Reinforcement Learning

Recent Advances, Architectures and other Applications

Other Resources

Books

  • Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
  • Deep Learning survey in Nature by Yann LeCun, Yoshua Bengio, and Geoffrey Hinton.

Resources on Theoretical Deep Learning

Deep Learning Theory, Talks, Tutorials, Blogs and Courses

Deep Learning Theoretical Papers

Architectures

Theory of neural networks

Generative models

Bayesian deep learning

Reinforcement Learning

Optimisation