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Machine Learning and Optimisation for Communications Engineering

This class was created by Brainscape user Rogelio Ramel. Visit their profile to learn more about the creator.

By: Rogelio Ramel
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Decks in this class (4)

Lecture #1 - Mathematical Preliminaries
What is optimisation,
What is gradient descent,
What we usually only consider
14  cards
Lecture #2 - ML Basics
Describe the differences between ...,
Describe the concept of a rule ba...,
Describe the concept of a hand de...
37  cards
Lecture #3 - Binary Classification
When discussing modulation classi...,
Explain what a feature vector is,
What does the sigmoid function do
9  cards
Lecture #4 - Deep Learning
What is the adam algorithm,
Explain the comparison between th...,
Explain the use of hidden layers ...
17  cards

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Machine Learning and Optimisation for Communications Engineering

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