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Machine Learning in Python: Building Convolutional Generative Adversarial Networks (GANs) in PyTorch - Data Hub Tech Talk

Building on the scikit-learn fundamentals discussed in a previous Tech Talk, we’ll introduce the popular PyTorch framework for machine learning. We’ll dive into how to build and train deep learning models in PyTorch. During this course, we will code and train two simple deep convolutional networks that work together to generate novel images such as art, synthetic human faces, and more.

 

Date:
Tuesday, January 31, 2023
Time:
12:30pm - 1:30pm
Location:
Data Hub presentation / collaboration space
Campus:
University of Idaho - Moscow campus
Presenter:
Luke Sheneman
Categories:
Data Hub

Registration is required. There are 30 in-person seats available. There are 41 online seats available.

Upcoming Workshops

Time Zone: Pacific Time - US & Canada (change)

Jan
31
12:30pm - 1:30pm, Data Hub presentation / collaboration space, University of Idaho - Moscow campus.
Feb
1
12:00pm - 1:30pm, Main Library, University of Idaho - Moscow campus.
Feb
3
1:30pm - 2:30pm, First Floor Classroom (business hours), University of Idaho - Moscow campus.
Feb
7
12:30pm - 1:30pm, Data Hub presentation / collaboration space, University of Idaho - Moscow campus.
Feb
8
12:00pm - 4:00pm, Team Tech Room (Room 133), University of Idaho - Moscow campus.