Deep Learning /
Goodfellow, Ian
Deep Learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville. - xvii, 775 páginas (algunas a color) : ilustraciones ; 24 centímetros . - Adaptive computation and machine learning .
Incluye bibliografía e índice.
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.
9780262035613
Deep learning
Algebra lineal
Machine learning
Redes de computadores
006.3 / G651d
Deep Learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville. - xvii, 775 páginas (algunas a color) : ilustraciones ; 24 centímetros . - Adaptive computation and machine learning .
Incluye bibliografía e índice.
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.
9780262035613
Deep learning
Algebra lineal
Machine learning
Redes de computadores
006.3 / G651d