Introduction to Machine Learning and Deep Learning (2/3)

by Prof. Paolo Frasconi (Università degli Studi di Firenze)

Tuesday 3 May 2022, 16:00 → 18:00 Europe/Rome

INAF - Osservatorio Astrofisico di Arcetri

First session - Overview: Classic supervised learning setting and methods (generalized linear models, kernels, boosting); main architectures for deep learning (multilayered perceptrons, recurrent networks, convolutions, attention and transformers).

Second session - Practice session on deep learning in TensorFlow: from linear models to convolutional networks and autoencoders, including main algorithms

Third session - Open session: Q&A, application domains.