Neural Network experiments

Neural Networks building blocks

• Batch Normalization: Explaination of how Batch Normalization works, why it improves networks convergence and how to implement a Batch Normalization layer in Pytorch (see notebook).

Neural Networks architectures

• Generative models: Presentation of different kind of generative models (GANs, VAEs, ..)

  • Variational Auto Encoders: Explaination of how they work and how to implement them in Pytorch.