Workshop Deep Learning Bootcamp

Do you want to take your research skills to the next level with Deep Learning methods? And have you already made your first acquaintance with Python and the machine learning framework Pytorch? Then this workshop is for you.

Date: 28 March 2025
Time: 10:00 -16:00
Location: LAB42 - Science Park 900
Room: L 0.11

This workshop is designed as an intensive 6-hour Pytorch bootcamp. We will start with small programming exercises designed to quickly teach you key programming skills specific to Pytorch. We will then build up to larger tasks, such as building a model from scratch, designing your own training loop, and building dynamic models.

We will focus on the skills that are most important to scientists working in fields outside machine learning, such as data management, model design and experimentation. For the assignments we will use Pytorch, but the main ideas will translate also to other frameworks like Tensorflow, Keras or Jax/Haiku.

The workshop is in English. A free lunch is provided.

Who is this workshop for

This workshop is for researchers, research support staff and master students of the University of Amsterdam. You understand the basics and have some Pytorch programming experience, and want to use Deep Learning methods for your research or production work.

What you will learn

Intermediary to advanced Pytorch application using Python
Programming exercises that will help you elevate your programming skills
How to build a model from scratch, design your own training loop and build dynamic models
Data management, model design and experimentation

Pre-requisites for attendees

A basic understanding of Python and Pytorch is expected. Participants who do not know Python or Pytorch can register, but may not fully benefit from the excercises.
You have a Google account.
All material is provided in Google Colab worksheets, so no software needs to be installed beforehand.
Optional: you can find materials of the previous Deep Learning (advanced) workshop on the DSC-GitHub here.

Time and location

Location: LAB42, L 0.11, Science Park 900, Amsterdam.

Time: 10:00-16:00

Workshop Instructor

Peter Bloem is assistant professor at the Vrije Universiteit Amsterdam. He is specialised in the combination of Machine Learning and Knowledge Representation.

Registration

Registration is free of cost, with prioritization to members of the Data Science Centre and UvA-researchers.

If you have questions, you can contact us at dsc@uva.nl with the subject ‘Deep Learning Bootcamp 28 March’.

About Deep Learning

Deep learning is a subfield of Machine learning. It refers to machine learning models consisting of large, multileveled computations. Each layer translates its input to increasingly complex and abstract concepts. By allowing models to learn complicated concepts from large amounts of data, deep learning simulates the neural networks of the human brain. Deep learning drives many everyday artificial intelligence (AI) applications, such as face recognition, voice recognition and translation.

About the UvA Data Science Centre

The Data Science Centre (DSC), part of the University Library, is a coordinating hub and facilitator for data-driven research within the University of Amsterdam.

Our mission is to enhance the university's research by developing, sharing, and promoting data science methods and technologies across faculties. The DSC strengthens data science expertise across all faculties, and propels greater innovation, diffusion and cross pollination of data science across the university.

LAB42 - Science Park 900

Room L 0.11
Science Park 900
1098 XH Amsterdam