Lecture 1 - Neural Networks: History and Foundations
Teacher: Yusuf ELHELW (CerCo, ANITI)
mail : yusuf.elhelw@univ-tlse3.fr
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