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NVIDIA Deep Learning Workshop!

Preventing disease, Building smart cities, Revolutionizing analytics. These are just a few things happening today with Artificial Intelligence and, specifically, Deep Learning. Deep Learning was only a theory until recently when teams around the world started using NVIDIA GPUs. Already, organizations are using Deep Learning to transform moonshots into real results.

The NVIDIA Deep Learning Institute (DLI) offers hands-on training hosted by Emmersive Infotech for developers, data scientists, and researchers looking to solve the world’s most challenging problems with Deep Learning.

Through self-paced online labs and instructor-led workshops, DLI provides training on the latest techniques for designing, training, and deploying neural networks across a variety of application domains. Contact Us for widely used frameworks as well as NVIDIA’s latest GPU-accelerated Deep Learning platforms.

Workshop


1

Class I

Introduction to Deep Learning (Pre-Beginner; for everyone): Learn the most popular software frameworks for Deep Learning. Understand which frameworks suit different types of applications.

2

Class II

Approaches to object detection (Beginner; basic understanding of DL preferred): Learn how to detect objects using neural networks and real world datasets.

3

Class III

Neural network deployment (Intermediate; experience in training neural networks using datasets preferred): Learn three approaches for neural network deployment: DIGITS & Caffe, Caffe through it’s Python API and NVIDIA TensorRT™


NOTE: Attendees must bring their own laptop with a current web browser. Class courseware will be accessed via the browser and wifi. Coffee/Tea & Lunch is included in the course fee.

Date: 17th - 18th March | Venue: COEP Cognizant Lab, Pune

17th March - Time Agenda
08:00 AM - 09:00 AM Registration, Seating & Connect to Wifi
09:00 AM - 11:00 AM Class I
11:00 AM - 11:30 AM Coffee/Tea Break
11:30 AM - 01:30 PM Class II
01:30 PM - 02:30 PM Lunch
02:30 PM – 04:30 PM Class III
04:30 PM – 05:00 PM Q&A
05:00 PM - 06:00 PM Close & Certificate Collection
18th March - Time Agenda
08:00 AM - 09:00 AM Industry Keynote
09:00 AM - 10:00 AM Selected 3 Presentations
10:00 AM - 11:00 AM Awards and closing

** Tea / Snacks / Lunch is included in the fees.

Looking Forward


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Who Should Attend?

1.Anyone who is curious to know what is Artificial Intelligence?
2.Multidisciplinary: Students from ALL streams, Researchers, Corporate professionals
3.Individual contributors, Managers to CEOs from any Industry

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What you should bring

1.Bring your wifi enabled Laptop with latest chrome browser
2.An open mind and desire to Learn

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What would you get?

1.Stand out from other by getting NVIDIA and COEP workshop completion Certificate
2.Access to other AI resources
3.Individual AI Cloud instance during workshop
4.Credits for enrolling for Intermediate level future Deep Learning training

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Outcome of this training:

1.Ability to identify the areas where Deep Learning can be applied in specific domain areas
2.Awareness about AI, Machine Learning and Deep Learning
3.Build your network with other like-minded individuals attending the training

Registration Fees

The Workshop registration fees for participants :
Academician /Industry Personals/ Researchers/ PhD scholars/ Students : Rs. 10,000/-


Certificate

Participants will be getting NVIDIA-COEP-Emmersive branded certificates

Questions About the Event?

Contact Us on: deeplearn18.comp@coep.ac.in

Resources

Blogs

  • What is Deep Learning? | NVIDIA Blog | Read >
  • What’s the difference between AI, ML, and DL? | NVIDIA Blog | Read >
  • What’s the difference between DL training and inference? | NVIDIA Blog | Read >
  • Deep Learning in a Nutshell: Core Concepts | NVIDIA Developer Blog | Read >
  • Deep Learning in a Nutshell: Sequence Learning | NVIDIA Developer Blog | Read >
  • Deep Learning in a Nutshell: Reinforcement Learning | NVIDIA Developer Blog | Read >

Podcasts

  • Where Deep Learning Goes Next, How AI Will Revolutionize Driving, How AI Can Improve Brain Tumor Treatment, and more | NVIDIA AI Podcast | Listen >
Visit NVIDIA DLI