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Teaching GuideTerm Faculty of Computer Science |
| Grao en Ciencia e Enxeñaría de Datos |
 Subjects |
| Machine Learning II |
| Sources of information |
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| Identifying Data | 2021/22 | |||||||||||||
| Subject | Machine Learning II | Code | 614G02021 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 1st four-month period |
Third | Obligatory | 6 | ||||||||||
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| Basic |
Ian Goodfellow, Yoshua Bengio, Aaron Courville (2016). Deep Learning. MIT Press
François Chollet (2018). Deep Learning with Python. Manning Publications
Daphne Koller, Nir Friedman (2009). Probabilistic Graphical Models Principles and Techniques. MIT Press |
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| Complementary |
Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola (2021). Dive in Deep Learning . Ebook
Eugene Charniak (2019). Introduction to Deep Learning. A project-based guide to the basics of deep learning. MIT Press |
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O libro Dive in Deep Learning pódese obter gratuitamente en http://d2l.ai/ |
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