Lecture 1 - Neural Networks: History and Foundations
Teacher: Leopold Maytie (ANITI)
mail : leopold.maytie@univ-tlse3.fr
Slides
Download the slides here
Contents
-
History of neural networks
-
Artificial neurons - Perceptrons
-
Multi-layer perceptrons (MLPs), CNNs and RNNs
-
Objective functions, Gradient descent and Back-propagation
-
Loss functions, optimization, regularization and hyperparameters
Notebook
Access the collab notebook here