Deep Learning for Life Sciences Workshop

Event Information

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Date and Time

Location

Location

Menzies Building, Room W204

20 Chancellor's Walk

Monash University, VIC 3800

Australia

Event description

Description

NVIDIA Deep Learning Institute (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. DLI and Monash eResearch Centre are excited to announce this full-day practical Deep Learning workshop at Monash University on 30th October, 2017.

This full-day workshop covers medical image segmentation using DIGITS, how to predict radiomics using Keras and TensorFlow, and how to use the DragoNN toolkit on real genomics data. Participants are required to bring their own laptop to the event.

Individual sessions ticketed separately - please book for each session you wish to attend. Click register to see detailed descriptions of each session.

Agenda

* Breaks to be included during these events

9:00 a.m. – 12:00 p.m.* Medical Image Segmentation with DIGITS (includes brief introduction to convolutional neural networks)

12:00 p.m. – 13:00 p.m. Lunch break

13:00 p.m. – 15:00 p.m.* Image Classification with TensorFlow: Radiomics - 1p19q Chromosome Status Classification

15:00 p.m. – 17:00 p.m. Deep Learning for Genomics using DragoNN with Keras and Theano

Please follow these pre-workshop instructions:

  • Create an account by going to https://nvlabs.qwiklab.com/ prior to getting to the workshop.
  • Ensure websockets runs smoothly on your laptop by going to http://websocketstest.com/
  • Make sure that WebSockets work for you by seeing under Environment, WebSockets is supported and Data Receive, Send and Echo Test all check Yes under WebSockets (Port 80).
  • If there are issues with WebSockets, try updating your browser or trying a different browser. The labs will not run without WebSockets support
  • Best browsers for the labs are Chrome, FireFox and Safari. The labs will run in IE but it is not an optimal experience.
  • Please remember to sign in to nvlabs.qwiklab.com using the same email address as for event registration, since class access is given based on the event registration list.

FAQs

What skill level is required for these sessions?

No programming skills are required for the Medical Image Segmentation wtih DIGITS session, however the remaining sessions assume basic Python programming ability. You do not need Python installed on your personal computer; all software is accessed via a web portal.

What can I bring into the event?

Please bring your laptop and laptop charger. No need to install any special software!

How can I contact the organiser with any questions?

Get in touch with any questions by emailing Jason.Rigby@monash.edu

Date and Time

Location

Menzies Building, Room W204

20 Chancellor's Walk

Monash University, VIC 3800

Australia

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