Deep learning /

Goodfellow, Ian,

Deep learning / Ian Goodfellow, Yoshua Bengio, and Aaron Courville. - xxii, 775 páginas : ilustraciones (algunas en color) - Adaptive computation and machine 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 -- 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.

COBERTURA BIBLIOGRAFICA:
INF473
Asignatura: Introducción a la inteligencia artificial explicable

9780262035613 0262035618


APRENDIZAJE AUTOMATICO (Inteligencia Artificial)

006.31 / G651