A gentle introduction to deep learning

Get a basic theoretical foundation regarding deep learning and some hands-on experience running the neural network models for computer vision and natural language processing with examples and short programming assignments, i.e. fill in the blanks code. Answers are provided as well.

• machine learning and neural networks
• gradient descent, vanishing gradients, training networks
• computer vision, convolutional neural networks and variants
• natural language processing, how to use transformer networks and large language models

Python programming. You’re also welcome to join us if you have coding experience in other languages, in which case you can co-op with a peer or go through the programming answers rather than do them as exercises.

You'll work in the cloud and don't need software installed other than Google Chrome - or other browsers at your own risk (make sure to have a backup chrome installed before the course). So bring your own laptop or use one of the onsite computers. We'll send you two small assignments in advance, to avoid teething issues in your setup during the day.

As a UG/UMCG researcher, student or staff you can participate for free.

Please register at datascience rug.nl.

Date

November 9, 2023 Time: 9 a.m.-5 p.m.

Location

5415.0023

Language

EN

Requirements

You'll work in the cloud and don't need software installed other than Google Chrome - or other browsers at your own risk (make sure to have a backup chrome installed before the course). So bring your own laptop or use one of the onsite computers. We'll send you two small assignments in advance, to avoid teething issues in your setup during the day.

Trainer

Herbert Kruitbosch