Nvidia Deep Learning Fundamentals workshop

IEEE Bilkent

The event has a limited quota and a selection process will occur. To make application you must fill the <A HREF="https://goo.gl/forms/lfiNgvQxf3wl62vy2" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Google Form application</A>
 <A HREF="http://www.nvidia.co.uk/dli" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">NVIDIA Deep Learning Institute</A> (DLI) offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning. DLI and IEEE Bilkent, in association with <A HREF="http://ii.metu.edu.tr/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Graduate School of Informatics, METU</A>, are excited to announce this one-day practical Deep Learning workshop at Bilkent University on November 19th exclusively for verifiable academic students, staff, and researchers.
In this full-day Deep Learning Fundamentals workshop, you will learn to 
-      Understand general terms and background of deep learning
-      Leverage deep neural networks (DNN) within the deep learning workflow to solve a real-world image classification problem using DIGITS
-      Measure object detection approaches in relation to three metrics: model training time, model accuracy and speed of detection during deployment
-      Take three approaches for neural network deployment: DIGITS and Caffe, Caffe, through its Python API and NVIDIA TensorRT™
Workshop Agenda:
10:00 Deep Learning Demystified and Applied Deep Learning (lecture)
10:45 Break
11:00 Image Classification with DIGITS (lab)
12:30 Lunch
13:30 Object Detection with DIGITS (lab)
15:30 Break
15:45 Neural Network Deployment with DIGITS and TensorRT (lab)
17:15 Closing Comments & Questions
17:30 End
Content level: beginner
 
Pre-Requisites: technical background and basic understanding of deep learning concepts
IMPORTANT: To reserve your seat, you MUST register at with a valid university email address and follow these pre-workshop instructions:
<UL>
<LI>You must bring your own laptop to this workshop.</LI>
<LI>Create an account by going to <A HREF="https://nvlabs.qwiklab.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://nvlabs.qwiklab.com/</A> prior to getting to the workshop.</LI>
<LI>Make sure your laptop is set up prior to the workshop by following these steps:
<UL>
<LI>Ensure websockets runs smoothly on your laptop by going to <A HREF="http://websocketstest.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">http://websocketstest.com/</A>
<UL>
<LI>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).</LI>
<LI>If there are issues with WebSockets, try updating your browser or trying a different browser.  The labs will not run without WebSockets support</LI>
<LI>Best browsers for the labs are Chrome, FireFox and Safari. The labs will run in IE but it is not an optimal experience.</LI>
</UL>
</LI>
</UL>
</LI>
<LI>Please remember to sign into nvlabs.qwiklab.com using the same email address as for event registration, since class access is given based on the event registration list.</LI>
</UL>
 This workshop is brought to you by:
 <IMG SRC="https://cdn.evbuc.com/eventlogos/225398272/introdlilogomobile297402x.png"><IMG SRC="https://cdn.evbuc.com/eventlogos/225398272/imageedit8719219401.jpg"><IMG SRC="https://cdn.evbuc.com/eventlogos/225398272/1.2.jpg"> 
Looking forward to seeing you at Bilkent University
 NVIDIA Deep Learning Institute
The <A HREF="http://www.nvidia.co.uk/dli" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">NVIDIA Deep Learning Institute</A> delivers hands-on training for developers, data scientists, and engineers. The program is designed to help you get started with training, optimizing, and deploying neural networks to solve real-world problems across diverse industries such as self-driving cars, healthcare, online services, and robotics. 
 
Twitter NVIDIAAI
Website <A HREF="http://www.nvidia.com/dli" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">www.nvidia.com/dli</A>

Nvidia Deep Learning Fundamentals workshop

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Nvidia Deep Learning Fundamentals workshop

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