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.

 

Deep Learning Theoretical Papers

Architectures

Theory of neural networks

Generative models

Bayesian deep learning

Reinforcement Learning

Optimisation

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