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Corporate Academy
Corporate Academy

A gentle introduction to deep learning

Join our course and learn how to train your first neural network, see some of the groundwork of gradient descent, and start with advanced applications in natural language processing and computer vision. You'll do hands-on assignments, so be sure you know some basic Python.

Goal

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.

Content
  • 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
Prerequisits

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.

Enrollment and course fee

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

Please register at datascience rug.nl.

Date, time and location

Date

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

Location

5415.0023

More information

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

Last modified:28 July 2023 5.50 p.m.