Deep Learning
Ian Goodfellow,Yoshua Bengio and Aaron Courville
(Adaptive Computation and Machine Learning series)
-
by: Ian Goodfellow – Yoshua Bengio – Aaron Courville
Ultimate Microsoft Power Automate Desktop: Leverage Microsoft’s Robotic Process Automation Capabilities to Automate Routine Tasks for Enhanced Efficiency and Productivity- Machine Learning in Multimedia: Unlocking the Power of Visual and Auditory Intelligence
- Intelligence in Chip: Integrated Sensors and Memristive Computing
- Computer Vision in Smart Agriculture and Crop Management
- Development of 6G Networks and Technology
- Linear Algebra for Data Science, Machine Learning, and Signal Processing
ISBN-10: 0262035618
ISBN-13: 9780262035613
Released: 2016-12-09
Print Length 页数: 808
Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience,there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book日期和时间
年
2016
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. It describes deep learning techniques used by practitioners in industry,including deep feedforward networks,regularization,optimization algorithms,convolutional networks,sequence modeling,and practical methodology; and it surveys such applications as natural language processing,speech recognition,computer vision,online recommendation systems,bioinformatics,and videogames. Finally,the book offers research perspectives,covering such theoretical topics as linear factor models,autoencoders,representation learning,structured probabilistic models,Monte Carlo methods,the partition function,approximate inference,and deep generative models.
Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research,and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
官方网址http://www.deeplearningbook.org/（含在线阅读版）
Deep Learning Ian Goodfellow,Yoshua Bengio and Aaron Courville 9780262035613.pdf
