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Introduction to Deep Learning

January 29 @ 9:00 am - 1:00 pm

You will learn how deep neural networks work and how they are optimised. During our hands-on sessions, you will get the chance to work on our high-performance systems and train neural networks to solve an image classification problem. We cover different neural network architectures: from a basic fully connected network, to a convolutional neural network and variational auto-encoders (time permitting).

The language of instruction is English.

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What will you learn in this course?

  • Understand how a neuron and neural network work
  • Understand how a neural network is trained
  • Investigate the effect of hyperparameters on the performance of neural networks
  • Working with a high-level machine learning API (Keras)

For whom.

Anyone who is interested in deep learning, but has no (or little) current experience & knowledge.

Prerequisites

  • Python
  • Basic linear algebra
  • Basic statistics

Topics

  • Neural network: basic principles
    • How does a neuron work?
    • Fully connected networks
    • Training/optimising a neural network
  • Convolutional neural networks (CNNs)
  • (Variational) Auto-encoders

This training is a collaboration between SURF and the UvA, sponsored by EuroCC.

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Details

Date:
January 29
Time:
9:00 am - 1:00 pm
Event Category:
Website:
https://www.surf.nl/en/agenda/introduction-to-deep-learning

Organizer

SURF & EuroCC

Venue

UvA campus (Science Park) A1.16
Amsterdam, 1012 WP Netherlands + Google Map