DEEP LEARNING

The topics covered in the course are as follows:
- Introduction to the course contents;
- Deep Feedforward Networks;
- Regularization for Deep Learning;
- Optimization for training Deep Models;
- Basic concepts for Convolutional Neural Networks;
- Recurrent Neural Networks for sequence modelling;
- Autoencoder
- Deep Generative Models;
- TensorFlow.