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Ian Goodfellow and Yoshua Bengio and Aaron Courville. Exercises   Lectures   External Links  . The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
- 16 Structured Probabilistic Models for Deep Learning
16 Structured Probabilistic Models for Deep Learning - Deep...
- 7 Regularization for Deep Learning
7 Regularization for Deep Learning - Deep Learning
- 3 Probability and Information Theory
3 Probability and Information Theory - Deep Learning
- Convolutional Networks
Convolutional Networks - Deep Learning
- 17 Monte Carlo Methods
In the con text of the deep learning approac h to undirected...
- 15 Representation Learning
15 Representation Learning - Deep Learning
- 1 Introduction
1 Introduction - Deep Learning
- 5 Machine Learning Basics
5 Machine Learning Basics - Deep Learning
- 16 Structured Probabilistic Models for Deep Learning
10 de nov. de 2016 · This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and...
This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning.
de Ian Goodfellow (Author), Yoshua Bengio (Author), Aaron Courville (Author) 4.3 2,201 calificaciones. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Libro mítico que incluye todo lo necesario para entender el deep learning y su evolución. Referencia obligatoria para quien quiera realmente entender cómo funciona. El libro puede ser muy denso para alguien que busca una guia rápida para salir al paso o código de programación
Written by a team of experts, this guide offers a deep dive into the world of artificial intelligence and machine learning. With clear explanations and practical examples, you'll learn how to use deep learning techniques to build powerful and innovative models that can solve complex problems.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives....
