Introduction to Deep Learning with Neural Networks

Workshop Leads: Dr. Danny Silver & Dr. Andy McIntyre

Host: St. Francis Xavier University

Date/Time: Tuesday, November 5th from 6:00pm to 9:00pm

Price: FREE

Abstract: This tutorial will provide a gentle hands-on introduction to developing predictive models using deep learning artificial neural networks. We will provide a high-level overview of the key elements of neural networks and deep learning, and recent advances that allow deep networks to solve challenging problems such as object recognition in images (e.g. classification of animal or letter) and sequence prediction (e.g. next word in a sentence, like Google auto-complete). Participants will get to build their own deep models using prepared software (Keras and Tensorflow) working in the browser.

Objectives: To provide a hands-on workshop that is fun and informative for participants. Covers 500-foot fundamentals of neural networks and deep learning (BP, CNN, LSTM) using popular python programming libraries.

Who is this for: Students, faculty, researchers, business professionals or anyone who are seeking an introduction to deep learning technology.

Prerequisites: All Python code will be provided, but some programming experience would be beneficial. Participants will need to bring a laptop with the latest version of the Chrome browser running on it, and a Google account for using Google Drive.

Registration: Please register to ensure adequate space for everyone. Participants must register by November 1st and complete a short study to become familiar with Google Colaboratory prior to the workshop. Details on this preparatory study will be sent to registrants.