Lecture 2 - Neural Networks: History and Foundations
Teachers: Amor Ben Tanfous & Aimen Zerroug (ANITI)
Lecture video
View the recorded lecture here (this will only be available for approximately 6 weeks after the course)
Slides
Download the slides here
Contents
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History of neural networks
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Artificial neurons - Perceptrons
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Multi-layer perceptrons (MLPs), CNNs and RNNs
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Objective functions, Gradient descent and Back-propagation
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Loss functions, optimization, regularization and hyperparameters
Notebook
Access the collab notebook here