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1-day practical Deep Learning workshop

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Université de Moncton

D-213 Pavillon Rémi Rossignol

Faculté des Sciences

Moncton, New Brunswick E1A 3E9

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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 the Perception, Robotics and Intelligent Machines Group (PRIME), Computer Science Department of Université de Moncton are excited to announce this one-day practical Deep Learning workshop at D-213 Pavillon Rémi Rossignol on November 25th, 2017 exclusively for verifiable academic students, staff, and researchers.

In this full-day workshop, you will learn the basics of deep learning by training and deploying neural networks. Build the skill-set and toolbox you need to build your own deep learning solutions through hands-on projects. Learners will:

- Understand general terms and background of deep learning

- Implement common deep learning workflows such as Image Classification and Object Detection

- Manipulate training parameters to improve accuracy

- Modify internal layers of neural networks to adapt to new problems

- Deploy your networks to start solving real-world problems

Workshop Agenda:

9:00 Deep Learning Demystified and Applied Deep Learning (lecture)

9:45 Break

10:00 Image Classification with DIGITS (lab)

12:00 Lunch

1:00 Object Detection with DIGITS (lab)

3:00 Break

3:15 Neural Network Deployment with DIGITS and TensorRT (lab)

5:15 Closing Comments & Questions

5:30 End

Content level: Beginner

Pre-Requisites: Technical background and basic understanding of deep learning concepts

IMPORTANT: To reserve your seat, you MUST register with a valid university email address and follow these pre-workshop instructions:

  • You must bring your own laptop to this workshop.

  • Create an account by going to https://nvlabs.qwiklab.com/ prior to getting to the workshop.

  • Make sure your laptop is set up prior to the workshop by following these steps:

    • 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.



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Date and Time

Location

Université de Moncton

D-213 Pavillon Rémi Rossignol

Faculté des Sciences

Moncton, New Brunswick E1A 3E9

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