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Introduction to Machine Learning and Deep Learning (3/3)
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Europe/Rome
INAF - Osservatorio Astrofisico di Arcetri
INAF - Osservatorio Astrofisico di Arcetri
Largo Enrico Fermi, 5
Firenze
Description
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.
Organised by
Carlo Baffa
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