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Regularization in Deep Learning delivers practical techniques to help you build more adaptable deep learning model. Along with exploring strategies for architecture, objective function, and optimisation, you will get just enough of the theory and mathematics behind regularisation to understand the new research emerging in this important area.
EdituraManning Publications
Dimensiuni
Data Publicarii02/10/2023
FormatNecartonata
Numar pagini275
Aceasta este o carte in limba engleza. Descrierea cartii (tradusa din engleza cu Google Translate) este in limba romana din motive legale.