Introduction to Deep Learning with TensorFlow

Overview

Instructor: Jian Tao

Time: Friday, September 21, 2:30-5:00PM

Location: Interdisciplinary Life Sciences Building (ILSB) auditorium room 1105

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 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