Online
May 29-31, 2024
8:30 am - 12:30 pm CST
Instructors: Chris Endemann, Victor Feagins, Meg Taylor
Helpers: Saloni Bhogale, Chris Endemann, Erwin Lares, Peter Cruz Parilla, Meg Taylor
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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: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: May 29-31, 2024, 8:30 am - 12:30 pm CST. Add to your Google Calendar.
Requirements: Participants must have access to a computer 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 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.
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.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
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 Thursdays, 2:30-4:30pm. For appointments outside of Coding Meetup, please email endemann@wisc.edu.