Deep Learning :
Goodfellow Ian, Yoshua Bengio, and Aaron Courville
Deep Learning : Ian Goodfellow, - 1a ed. - Estados Unidos The mit press 2016 - 800 16 cm
Introduction -- Linear Algebra -- Probability and Information Theory -- Numerical Computation -- Machine Learning Basics -- Deep Feedforward Networks -- Regularization for Deep Learning -- Optimization for Training Deep Models -- Comvolutional Networks -- Sequence Modeling: Recurrent and Recursive Nets -- Practical Methodology -- Applications -- Linear Factos Models -- Autoencoders -- Representation Learning -- Structured probabilistic Models for Deep Learning -- Monte Carlo Methods -- Confronting the Partition Function -- Approximate Inference -- Deep Generative Models
978-0-262-03561-3
006.3 / G72
Deep Learning : Ian Goodfellow, - 1a ed. - Estados Unidos The mit press 2016 - 800 16 cm
Introduction -- Linear Algebra -- Probability and Information Theory -- Numerical Computation -- Machine Learning Basics -- Deep Feedforward Networks -- Regularization for Deep Learning -- Optimization for Training Deep Models -- Comvolutional Networks -- Sequence Modeling: Recurrent and Recursive Nets -- Practical Methodology -- Applications -- Linear Factos Models -- Autoencoders -- Representation Learning -- Structured probabilistic Models for Deep Learning -- Monte Carlo Methods -- Confronting the Partition Function -- Approximate Inference -- Deep Generative Models
978-0-262-03561-3
006.3 / G72