Deep Learning From Scratch: a hands-on approach

Deep Learning From Scratch

Next Course:

June 14th-15h, 2018 (Spanish Edition)

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Approach:

We will illustrate all contents with Jupyter notebooks, a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text.

Target Audience:

This course is targeted for developers, data scientists and researchers that have a basic knowledge of machine learning.

A limited number of seats are available.

Prerequisites:

Minimal experience on Python programming, basic knowledge of calculus, linear algebra, and probability theory. Attendees are expected to bring their own laptops for the hands-on practical work.

Who:

This course is organized by the Data Science Group @ UB.

INSTRUCTORS: Oriol Pujol, Associate Professor at UB. Santi Seguí, Lecturer at UB. Jordi Vitrià. Full Professor at UB.

Where:

Facultat de Matemàtiques, Edifici Històric de la Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona

Why:

By the end of this course, you will be able to:

Describe how a neural network works and combine different types of layers and activation functions.
Describe how these models can be applied in computer vision, text analytics, etc.
Develop your own models in Tensorflow and Keras.

Agenda

Day 1

09:30-10:00, Registration
10:00-10:10, Welcome
10:10-11:15, Introduction to Deep Learning and its applications.
11:15-11:30, Coffee Break
11:30-13:30, Basic Concepts: Score & Loss functions, Optimization (SGD), Linear Regression.
13:30-15:00, Lunch
15:00-16:15, Backpropagation, Training a Neural Netwotk from Scratch.
16:15-16:30, Coffee Break
16:30-18:00, Tensorflow programming model.

Day 2

09:00-11:00, Convolutions. CNN models.
11:00-11:15, Coffee Break
11:15-13:30, Recurrent Neural Netwoks.
13:30-15:00, Lunch
15:00-16:15, Unsupervised Learning.
16:15-16:30, Coffee Break
16:30-17:15, Advanced Applications: Embeddingss, Sentiment Analysis, Time Series.
17:15-17:30, Summary of the course and closing.

Course on demand

The course can be offered on demand. If you are interested, get in contact with us at datascience@ub.edu

Past Courses:

University of Barcelona, June 16-17, 2016, Barcelona

BBVA, November 24-25, 2016, Madrid

BBVA, December 1-2, 2016, Madrid

Vodafone, March 30-31, 2017, London

University of Barcelona, July 12-13, 2017, Barcelona

Registration fee

Agenda

Day 1

Day 2

Course on demand