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Deep Learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville.

By: Goodfellow, IanContributor(s): Bengio, Yoshua | Courville, AaronMaterial type: TextTextLanguage: English Series: Adaptive computation and machine learningPublisher: Cambridge, Massachusetts ; London : The MIT Press, 2016Description: xvii, 775 páginas (algunas a color) : ilustraciones ; 24 cmISBN: 9780262035613Subject(s): Deep learning | Algebra lineal | Machine learning | Redes de computadoresDDC classification: 006.3
Partial contents:
Applied Math and machine learning basics -- Linear algebra -- Probability and information theory -- Numerical computation -- Mchine learning basics -- Deep networks: modern practices -- Deep feedforward networks -- Regularization for deep lerning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research: Linear factors models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Mote Carlo methods -- Confronting the partition Function -- Appoximate Inference -- Deep Generative models
Abstract: Una introducción a una amplia gama de temas en el aprendizaje profundo, que cubre antecedentes matemáticos y conceptuales, técnicas de aprendizaje profundo utilizadas en la industria y perspectivas de investigación.
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LIBROS - MATERIAL GENERAL LIBROS - MATERIAL GENERAL BIBLIOTECA CENTRAL
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Applied Math and machine learning basics -- Linear algebra -- Probability and information theory -- Numerical computation -- Mchine learning basics -- Deep networks: modern practices -- Deep feedforward networks -- Regularization for deep lerning -- Optimization for training deep models -- Convolutional networks -- Sequence modeling: recurrent and recursive nets -- Practical methodology -- Applications -- Deep learning research: Linear factors models -- Autoencoders -- Representation learning -- Structured probabilistic models for deep learning -- Mote Carlo methods -- Confronting the partition Function -- Appoximate Inference -- Deep Generative models

Una introducción a una amplia gama de temas en el aprendizaje profundo, que cubre antecedentes matemáticos y conceptuales, técnicas de aprendizaje profundo utilizadas en la industria y perspectivas de investigación.

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