DL-intro

Introduction to Deep Learning in Keras and Tensorflow, not very polite. A basic Machine Learning background is recquired.

Contents

1. Dense NN
2. Convolutional NN
3. Autoencoder
4. Segmentation
5. Generative Models
6. Recurrent NN
7. Some examples