NVIDIA DLI WORKSHOPS

2021

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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 and accelerated computing.

MSc in Artificial Intelligence and Deep Learning, supported by four research laboratories of the University of West Attica, in collaboration with NVIDIA DLI are offering series of practical Deep Learning and Accelerated Computing workshops for academic students, staff, researchers and AI enthusiasts.

PROGRAMMED EVENTS FOR 2021

FUNDEMENTALS OF DEEP LEARNING (12 March 2021)

When:

 

MAR 12

from 10h00 EET to 18h00 EET

Where:

Online

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

In this workshop, you’ll :

  • Learn the fundamental techniques and tools required to train a deep learning model
  • Gain experience with common deep learning data types and model architectures
  • Enhance datasets through data augmentation to improve model accuracy
  • Leverage transfer learning between models to achieve efficient results with less data and computation
  • Build confidence to take on your own project with a modern deep learning framework

Who:

verifiable academic students, staff, and researchers of University of Patras

More info: Click here

FUNDEMENTALS OF DEEP LEARNING (05 March 2021)

When:

 

MAR 5

from 10h00 EET to 18h00 EET

Where:

Online

Explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.

In this workshop, you’ll :

  • Learn the fundamental techniques and tools required to train a deep learning model
  • Gain experience with common deep learning data types and model architectures
  • Enhance datasets through data augmentation to improve model accuracy
  • Leverage transfer learning between models to achieve efficient results with less data and computation
  • Build confidence to take on your own project with a modern deep learning framework

Who:

verifiable academic students, staff, and researchers of UniWA

More info: Click here
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