In this workshop, we will discuss both theoretical concepts on deep learning, and hand-on code lab.
We will start with a technical talk on deep learning core concepts like loss functions, dropout rate, batch size, learning rate, and etc...
After the technical talk, we will walkthrough a hands on code lab where we will cover how to develop, deploy, tune your custom neural nets. Create your custom neural net by setting those options and optimizing for your domain.

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Agenda (US pacific time UTC-7):

[10:00 - 10:10am] Welcome and workshop overview

[10:10 - 10:45am] Overview on deep learning core concepts

[10:45 - 11:45am] Hands on code lab

[11:45 - 12:00pm] Q&A and wrap up