Argomento Nome Descrizione
Lectures File Lecture 1: Intro to DL + Course Organization
File Lecture 2: Feed Forward Networks
File Lecture 3: Optimization & Training
File Lecture 4: Convolutional Neural Networks

Please find the PDF & the PPT here, as well as the video recording for the second part of the lecture on important CNN architectures.

The .pptx slides contain additional videos / animations that are not playing in the PDF.

 

 
File Lecture 5: Autoencoders and Generative Adversarial Networks
File Lecture 6: Recurrent Neural Networks, Sequence to Sequence and Attention Models
File Lecture 7: Attention & Transformers
File Lecture 8 - Introduction to Reinforcement Learning
File Lecture 9 - Deep Reinforcement Learning
File Lecture 10 - Graph Representation Learning
File Lecture 11 - Graph Neural Networks