September 25, 2020

Introduction to TensorFlow and Deep Learning

Introduction to TensorFlow and Deep Learning
This workshop is an introduction to how deep learning works and how you could create a neural network using TensorFlow v2. We start by learning the basics of deep learning including what a neural network is, how information passes through the network, and how the network learns from data through the automated process of gradient descent. You would build, train and evaluate your very own network using a cloud GPU (Google Colab). We then proceed to look at image data and how we could train a convolution neural network to classify images. You will extend your knowledge from the first part to design, train and evaluate this convolutional neural network.

Difficulty level: Foundational.

What you’ll need: A computer with speakers and a microphone (note: webcams and dual monitors are recommended but not required). A web browser and Zoom are the only required software. A Zoom link and instructions will be sent to registrants 2 days prior to the workshop.

How to register? 

1. Monash staff and Graduate Research students register here
Note: that Data Fluency workshops are now only available to staff and Graduate Research students.

2. Monash external affiliate partners, MASSIVE partners and users, Monash ARDC project partners and users register here. 

Data Fluency for Research is a cross-disciplinary initiative developing researcher capability at Monash University. Keep an eye out for additional upcoming workshops across our campuses by logging in to your myDevelopment training space, and also by subscribing to the Data Fluency mailing list to receive updates on events and workshops.

Need some urgent individual advice, help troubleshooting your code, or just want to meet members of our community? Join our informal Friday drop-in sessions virtually from 3pm-4pm via Zoom by clicking here.