Deep Learning (machine learning based on deep artificial neural networks) has become extremely popular over the last years due to the very good results it allows for regression, classification or generation.

The objective of this course is to cover the three main types of networks (multi-layer-perceptron, recurrent-neural-network and convolutional neural network). This course range from the perceptron to the generation of adversarial images.

Each lesson is followed by a corresponding lab where student learn to implement these networks using the currently most popular frameworks (tensorflow, pytorch and keras).