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Apprendimento profondo

This module explores deep learning, a subset of machine learning that utilizes neural networks with many layers to model complex patterns in data. It covers foundational concepts like convolutional and recurrent neural networks, backpropagation, and training techniques, as well as applications in image and speech recognition, natural language processing, and autonomous vehicles.

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Sutton, Richard S. e Andrew G. Barto. Apprendimento per rinforzo: An Introduction. Seconda edizione. Adaptive Computation and Machine Learning Series. Cambridge, Massachusetts: The MIT Press, 2018.

Theodoridis, Sergios, and Konstantinos Koutroumbas. Pattern Recognition. 4th ed. Burlington Heidelberg: Academic Press, 2009.

Zhang, Aston, Zachary C. Lipton, Mu Li, and Alexander J. Smola. “Dive into Deep Learning.” arXiv, August 22, 2023.

http://arxiv.org/abs/2106.11342

Nielsen, Michael A. Neural Networks and Deep Learning, 2019.

http://neuralnetworksanddeeplearning.com

Tunstall, Lewis, Leandro von Werra, and Thomas Wolf. Natural Language Processing with Transformers: Building Language Applications with Hugging Face. First edition. Sebastopol, CA: O’Reilly Media, 2022.

Rao, Delip, and Brian McMahan. Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning. First edition. Sebastopol, CA: O’Reilly Media, 2019.

Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. Deep Learning. Adaptive Computation and Machine Learning Series. The MIT Press, 2016.

Goldberg, Yoav. “A Primer on Neural Network Models for Natural Language Processing.” arXiv, 2015.

https://doi.org/10.48550/ARXIV.1510.00726

Eisenstein, Jacob. Introduction to Natural Language Processing. Adaptive Computation and Machine Learning. The MIT Press, 2019.

Jurafsky, Daniel, and James H. Martin. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall Series in Artificial Intelligence. Upper Saddle River, N.J: Prentice Hall, 2000.

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Candidatura per: Sutton, Richard S. e Andrew G. Barto. Apprendimento per rinforzo: An Introduction. Seconda edizione. Adaptive Computation and Machine Learning Series. Cambridge, Massachusetts: The MIT Press, 2018.

Sutton, Richard S. e Andrew G. Barto. Apprendimento per rinforzo: An Introduction. Seconda edizione. Adaptive Computation and Machine Learning Series. Cambridge, Massachusetts: The MIT Press, 2018.

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