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NVIDIA “Fundamentals of Deep Learning” workshop

 

ANNOUNCMENT

 

NVIDIA DLI and the “Data Science for Business” master’s program of YSU, in partnership with Enterprise Incubator Foundation (EIF) and Innovative Solutions and Technologies Center (ISTC), are inviting to participate in the “Fundamentals of Deep Learning” hands-on workshop, which will take place on July 3 and 10 at YSU (2 days, 8 hours each day).

 

The workshop is exclusively for verifiable academic students, staff, and researchers with innovative and progressive mindset. Workshops will be led by the certified NVIDIA DLI Ambassadors in Armenia Gagik Chakhoyan and Gevorg Ghalachyan.

 

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

 

Workshop will consist of two modules:

1. Fundamentals of Deep Learning for Computer Vision

This workshop teaches deep learning techniques for a range of computer vision tasks. After an introduction to deep learning, participants will advance to building and deploying deep learning applications for image classification and object detection, modifying their neural networks to improve their accuracy and performance, and implementing the techniques they have learned on a final project. At the end of the workshop, they will have access to additional resources to create new deep learning applications on their own.

 

2. Fundamentals of Deep Learning for Multiple Data Types

This workshop uses a series of hands-on exercises to teach deep learning techniques for a range of problems involving multiple data types. After a quick introduction to deep learning, the participants will advance to building deep learning applications for image segmentation, sentence generation, and image and video captioning, while learning relevant computer vision, neural network, and natural language processing concepts. At the end of the workshop, they will be able to assess a broad spectrum of problems where deep learning can be applied.

 

Prerequisites:

• Basic experience using Python and familiarity with matrix operations, functions, variables, etc.
• English language fluency

 

The registration deadline is June 30 (including):

 

To apply please visit here.

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