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Deep Learning - Self Organizing Maps
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Duration
3 hours session
Course outline
Design
This practical session will give the learners necessary knowledge on Self Organizing Maps (SOM), to build a SOM supported by a relevant case study.
Prerequisite knowledge
Python Programming Knowledge
Deep Neural Network (DNN) Fundamentals
Learning outcomes
Learners will be introduced to a Machine Learning technique, Self Organizing Maps, the intuition behind it and the practical Model building aspect of it.
Software / Hardware requirements
Anaconda Distribution
Install the ‘64-bit Graphical installer’
Python
(For both Windows & macOS)
Sugggested link:
https://www.anaconda.com/products/individual
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