This repository contains the projects realised in the deep learning and convolutional networks course.
The course discusses the motivations and principles regarding learning algorithms for deep architectures, starting from the unsupervised learning of single-layer and moving on to learning deeper models.
- Introduction to Deep Learning and to Keras
- Optimization
- Specific architectures
- Natural Language Processing
- Reinforcement Learning
3 individual projects about:
- Image Classification and Regression in Keras
- Deep Learning for Natural Language Processing
- Deep Reinforcement Learning