eScience Institute is offering this 6 session tutorial series on deep learning for images. The series will demonstrate how to build neural networks capable of addressing common computer vision tasks such as classifying patterns in images, detecting objects, identifying the boundaries of those objects. These tutorials will be focused on providing more than just a brief introduction to technical tools; attendees will also learn methods to rigorously validate the accuracy of their models and assess how their results generalize in the presence of new data.

No prior experience with neural networks or related software packages is necessary, though attendees are expected to have some basic Python experience and should have some familiarity with one or more machine learning approaches, such as logistic regression or random forests. Attendees will use the Keras library to do their work, but learn concepts that are broadly useful regardless of the technology. The sessions will take place on October 15th to November 19th, Wednesdays from 12:30-1:50 p.m.

This event is offered in collaboration with UW-IT Research Computing as part of the “Tillicum Computing and AI Training Series. Register here.