Deep Learning from Scratch (v3.0)

This course is organized by the DataScienceGroup@UB (http://datascience.barcelona/)

Deep learning is one of the fastest growing areas of machine learning and a hot topic in both academia and industry. This course will cover the basics of deep learning by using a hands-on approach.

Course Agenda

Day 1

Introduction to Deep Learning and its applications. Using the Jupyter notebook & Docker.

Basic Concepts: Score & Loss functions, Optimization (SGD), Linear Regression.

Automated differentiation, Backpropagation, Training a Neural Netwotk from Scratch.

Tensorflow programming model. Keras.

Day2

Recap Exercise

Convolutions & CNN models.

Recurrent Neural Netwoks.

Unsupervised Learning.

Advanced Applications.