May 19-22, 2025
9:00 am - 12:30 pm CST
Instructors: Ryan Bemowski, Chris Endemann, Maja Rudolph, Robert Slater
Helpers: Ryan Bemowski, Chris Endemann, Peter Cruz Parrilla, Maja Rudolph, Robert Slater
Some adblockers block the registration window. If you do not see the registration box below, please check your adblocker settings.
This is a hands-on introduction to the first steps in deep learning, intended for students and researchers who are familiar with…
Please take the pre-workshop survey to verify you meet the prerequisites and to give the instructors a better understanding of learners’ backgrounds.
The use of deep learning has seen a sharp increase of popularity and applicability over the last decade. While deep learning can be a useful tool for researchers from a wide range of domains, taking the first steps in the world of deep learning can be somewhat intimidating. This introduction aims to cover the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model.
We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. Learners will learn how to prepare data for deep learning, how to implement a basic deep learning model in Python with Keras, how to monitor and troubleshoot the training process and how to implement different layer types such as convolutional layers.
Where: Orchard View Room, Discovery Building, 330 N Orchard St, Madison, WI. Get directions with OpenStreetMap or Google Maps.
When: May 19-22, 2025, 9:00 am - 12:30 pm CST. 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. For workshops at a physical location, the workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email facilitator@datascience.wisc.edu for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
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.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
Please check the lesson site for a list of lesson sections and estimated timings.
The lesson taught in this workshop is being piloted and a precise schedule is yet to be established. The workshop will include regular breaks. Please contact the workshop organizers if you would like more information about the planned schedule.
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.
Please check the “Setup” page of the lesson site for instructions to follow to obtain the software and data you will need to follow the lesson. Be sure to check your setup prior to the workshop — the earlier the better. If you need any assistance, please visit the Data Science Hub at Coding Meetup on Tuesdays and Thursdays, 2:30-4:30pm. For appointments outside of Coding Meetup, please email facilitator@datascience.wisc.edu.