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"Deep Learning with Caffe" by Apala Guha #157

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brunogrande opened this Issue Jan 24, 2017 · 0 comments

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brunogrande commented Jan 24, 2017

Description

Workshop leader: @apalaguha

Deep learning has emerged has one of the most important applications in the world today, image classification being one of its primary uses. Image classification is used in robotics, autonomous vehicles, IOT devices, etc. In this workshop, we will learn the basic principles underlying deep learning networks, how they are implemented, and how to visualize a trained network. We will use Caffe, which is a popular deep learning tool and apply it to an image database.

Time and Place

Where: Room 7010, Library Research Commons, SFU Burnaby Campus

When: March 28th, 2017 @ 3:00 PM

Registration

REGISTER HERE

Required Preparation

Assumed Knowledge

This workshop assumes you have basic Python knowledge.

Software Dependencies

Make sure you install Docker Community Edition first. Download it for your operating system here.

Then, run the following commands in the appropriate terminal. On Macs, it's in the Terminal app. On Windows, you can use the Windows PowerShell to run the commands. These commands take 15-30 minutes to run, so go through them before the workshop.

docker build https://raw.githubusercontent.com/BVLC/caffe/master/docker/cpu/Dockerfile
docker run -ti bvlc/caffe:cpu caffe --version
docker run -ti bvlc/caffe:cpu ipython

Data

TBA.

Links

Lessons Notes: TBA.

@brunogrande brunogrande added this to the Spring 2017 milestone Jan 24, 2017

@brunogrande brunogrande changed the title from "Deep learning with Caffe" by Apala Guha to "Deep Learning with Caffe" by Apala Guha Jan 24, 2017

@dfornika dfornika added this to Scheduled Workshops in Workshop Planning Feb 6, 2017

@brunogrande brunogrande moved this from Scheduled Workshops to Completed Workshops in Workshop Planning Mar 31, 2017

@brunogrande brunogrande removed the workshop label May 26, 2017

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