Deep learning

Applied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolution...

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Autor principal: Goodfellow, Ian
Altres autors: Bengio, Yoshua
Format: Llibre
Idioma:Undetermined
Publicat: Cambridge, Massachusetts The MIT Press [2016]
Matèries:
Accés en línia:http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=41713
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Descripció
Sumari:Applied math and machine learning basics. Linear algebra -- Probability and information theory -- Numerical computation -- Machine learning basics -- Deep networks: modern practices. Deep feedforward networks -- Regularization for deep learning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research. Linear factor models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Monte Carlo methods -- Confronting the partition function -- Approximate inference -- Deep generative models.
Descripció física:xxii, 775 pages