Introduction to Deep Learning with Python at UCL

University College London

May 26-27, 2026

10:00 - 17:00

Instructors: Devaraj Gopinathan, Dimitra Salmanidou, Miguel Xochicale

Helpers:

General Information

The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.

Want to learn more and stay engaged with The Carpentries? Carpentries Clippings is The Carpentries' biweekly newsletter, where we share community news, community job postings, and more. Sign up to receive future editions and read our full archive: https://carpentries.org/newsletter/

Please note, this workshop will be taking place in-person only.

Where: Room LG01 in 222 Euston Road, UCL Institute of Health Informatics, NW1 2DA. Get directions with OpenStreetMap or Google Maps.

When: May 26-27, 2026; 10:00 - 17:00 Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:

We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation form please email us.

Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.

Workshop Recordings: Carpentries workshops are designed to be interactive rather than lecture-based, with lessons that build upon one another. To foster a positive online learning environment, we strongly recommend that participants join in real time. As a result, workshop recordings are not recommended and may not be available to learners.

Contact: Please email ARC.Education+carpentries@UCL.ac.uk for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.


Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Collaborative Notes

We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.


Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Schedule

This workshop is teaching a lesson in The Carpentries Lab.

Day 1

Before Pre-workshop survey
09:30 Installation troubleshooting
10:00 Introduction
11:20 Morning break
11:30 Classification by a neural network using Keras
13:00 Lunch break
14:00 Classification by a neural network using Keras (continued)
14:20 Monitor the training process
15:20 Afternoon break
15:30 Monitor the training process (continued)
17:00 Wrap-up

Day 2

Before -
09:30 Troubleshooting
10:00 Monitor the training process (continued)
10:50 Advanced layer types
11:20 Morning break
11:30 Advanced layer types (continued)
13:00 Lunch break
14:00 Advanced layer types (continued)
14:20 Transfer learning
15:20 Afternoon break
15:30 Outlook
17:00 Post-workshop survey

Setup

To participate in a workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.