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Lectures A.Y. 2023/2024

Folder Course Plans
Folder Artificial Intelligence, Machine Learning e Computational Intelligence
Folder Foundations of Artificial Intelligence Methodologies
Folder Artificial Neural Networks and Hebbian Learning
Folder Hopfiled Neural Network
Folder Principal and Independent Component Analysis by Hebbian Learning
Folder Self Organizing Map
Folder Single Layer Neural Network
Folder Multi-Layer Neural Network
Folder Error Back-Propagation
Folder Radial Basis Functions NN
Folder Error Functions
Folder Optimization algorithms
Folder Regularization for NNs
Folder Optimization Strategies and Meta-Algorithms
Folder Convolutional Neural Networks
Folder Recurrent Neural Networks
Folder Autoencoders
Folder Representation learning
Folder Graphical Models
Folder Deep Generative Models
Folder Sampling Methods
Folder Reinforcement Learning
Folder Computational Intelligence
Folder Transformers
Folder Graph Neural Networks
Folder Generative Adversial Networks
Folder Diffusion Models

Lectures A.Y. 2022/2023

Folder Course Plans
Folder Artificial Intelligence and Machine Learning
Folder Foundations of Machine Learning
Folder Introduction to Artificial Neural Networks
Folder Hebbian Learning
Folder Hopfield Neural Network
Folder Principal Component Analysis Neural Networks
Folder Kohonen Map
Folder Single Layer Neural Network
Folder Multi-Layer Neural Network
Folder Error Back-Propagation
Folder Radial Basis Functions Neural Networks
Folder Error Functions
Folder Optimization Algorithms
Folder Regularization for NNs
Folder Meta-Algorithms
Folder Convolutional Neural Networks
Folder Recurrent Neural Networks
Folder Autoencoders
Folder Representation learning
Folder Graphical models
Folder Deep Generative Models
Folder Sampling methods
Folder Reinforcement Learning
Folder Soft Computing

Material (D.M. 752 del 30/06/2021)

Folder Verification Tests