Goodfellow, Ian. creator author. Bengio, Yoshua. author Courville, Aaron. author us Cambridge, MA MIT Press 2016 eng xxii, 775 pages : illustrations. 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. Ian Goodfellow ; Yoshua Begio ; Aaron Courville. Includes bibliographical references and index. Aprendizaje automático Inteligencia artificial 9780262035613 clrauoh 220928 20260302130319.0 u3669 spa