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MATLAB-Tutorial: MATLAB in HPC (Module 3: Deep Learning with MATLAB)

Date
Oct 20, 2022
Time
9:00 AM - 12:00 PM
Language
en
Main Topic
Informatik
Other Topics
Informatik
Description

MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyze data, develop algorithms, and create models. It is developed by MathWorks, the leading developer of mathematical computing software for engineers and scientists. TU Dresden provides all staff and students with free campus-wide MATLAB access, including dedicated toolboxes for various applications.

In this hands-on tutorial you will learn how to do Deep Learning in MATLAB. We will use deep neural networks to classify image and signal data. You will learn how to apply transfer learning and how to train a network from scratch.

This tutorial will be focused on the application of Deep Learning using MATLAB. You will have time to work through exercises on your own which will help you get started on your own projects. The event will also show how to use the built-in capabilities for Machine Learning in MATLAB using the MATLAB Parallel Server and show how to do deep learning with MATLAB using modern GPUs.

Agenda

  • Using pretrained networks

  • Creating Layer Architectures

  • Training and Transfer Learning

  • Improving Network Accuracy

The course is free of charge. Course language: English.
Please register here until 23rd September 2022: Registration MATLAB-Tutorial3 (https://event.zih.tu-dresden.de/nhr/matlab-3)

You will receive the access data via email to your registered email address before the event. If you have any questions, please do not hesitate to contact Ms. Anja Gerbes  (anja.gerbes@tu-dresden.de (mailto:anja.gerbes@tu-dresden.de?subject=PIKA-Tutorial)).

Links

Last modified: Oct 20, 2022, 12:08:04 AM

Location

TUD- 01069Dresden
Homepage
https://tu-dresden.de/tu-dresden/campus/orientierung/lageplaene

Organizer

Center for Information Services and High Performance ComputingZellescher Weg12-1401069Dresden
Phone
+49 351 463-35450
Fax
+49 351 463-37773
E-Mail
TUD ZIH
Homepage
http://tu-dresden.de/zih
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