As part of the IDEAS conference, the NVIDIA Deep Learning Institute (DLI) and Maroun Semaan Faculty of engineering and Architecture (MSFEA) at AUB invite you to attend a hands-on deep learning workshop on April 18, 2019 from 1:00 pm till 4:00 pm in IOEC 217, exclusively for verifiable academic students, staff, and researchers.

NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.

In this hands-on workshop, you will learn the basics of deep learning by training and deploying neural networks. You will:

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

• Experiment with data, training parameters, network structure, and other strategies to increase performance and capability.

• Deploy your networks to start solving real-world problems.On completion of this course, you will be able to start solving your own problems with deep learning.

Prerequisites:

Familiarity with the basic programming, fundamentals such as functions and variables.

Instructor:

Dr. Manal Jalloul is a Lecturer in the Electrical and Computer Engineering Department in MSFEA at AUB. She is also a Certified Trainer and University Ambassador at the NVIDIA Deep Learning Institute. Email: mj37@aub.edu.lb

Workshop Setup Instructions:

1. Create an NVIDIA Developer account at http://courses.nvidia.com/join.

2. Make sure that WebSockets works for you:

• Test your laptop at http://websocketstest.com

• Under ENVIRONMENT, confirm that “WebSockets” is checked yes.

• Under WEBSOCKETS (PORT 80), confirm that “Data Receive,” “Send,” and “Echo Test” are checked yes.

3. If there are issues with WebSockets, try updating your browser. We recommend Chrome, Firefox, or Safari for an optimal performance.

4. Once onsite, visit http://courses.nvidia.com/dli-event and enter the event code provided by the instructor.

Deep Learning Demystified

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