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High-Performance Deep Learning

April 16, 2024 @ 9:00 am - April 17, 2024 @ 2:00 pm

Would you like to learn the basics about Deep Learning?

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What?

On day 1 of this course you will:

  • Understand the fundamental theories of machine learning and the intuitions/ideas behind the algorithms
  • Work with a high-level machine learning API (Keras)
  • Explore hyperparameter space to improve a neural network
  • Understand the pitfalls of classic machine learning algorithms

On day 2 of this course you will learn:

  • How to set up your software environment
  • About the technical capabilities of modern day CPUs and GPUs
  • How to identify bottlenecks in your code

Who?

Everyone interested in getting familiar with machine learning at scale, from the beginning up to more advanced topics

Prerequisites

  • Basic knowledge on statistics
  • Basic knowledge on linear algebra
  • Basic knowledge on Python programming. Some experience with the use of Jupyter Notebooks is desirable, but not essential.

* Basic knowledge on parallel computing is helpful, but not required.

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Details

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