Overview

Instructor: Jian Tao

Time: Friday, October 1, 2021 — 1:30PM-4:00PM CT

Location: Blocker 220 and online using Zoom

Prerequisites: Experience with Python

This short course gives a brief introduction to deep learning with TensorFlow, an open-source software library for machine intelligence. The basic concepts of deep learning methods will be covered. TensorFlow will be introduced with examples.

Course Materials

• Introduction to Deep Learning with Tensorflow (Fall 2021): PDF
• Introduction to Deep Learning with Tensorflow (Spring 2021): PDF
• Introduction to Deep Learning with Tensorflow (Spring 2020): PDF
• Introduction to Deep Learning with Tensorflow (Fall 2018): PDF
• Introduction to Deep Learning with Tensorflow (Spring 2018): PDF
• Jupyter Notebooks for Deep Learning with Tensorflow (Spring 2018): ZIP

Agenda

This course focuses, among others, on the following topics:

• Brief introduction to machine learning (ML) and deep learning (DL) methods
• Open source ML/DL software packages
• Introduction to TensorFlow
• Hands-on exercises