TY  - BOOK
AU  - Kelleher, John D.
TI  - Deep learning
SN  - 9780262537551
AV  - Q 325.5 .K45 2019 
PY  - 2019///
CY  - Cambridge, Massachusetts
PB  - The MIT Press
KW  - ARTIFICIAL INTELLIGENCE
N1  - Includes bibliographical references; 1. Introduction to Deep Learning -- 2. Conceptual Foundations -- 3. Neural Networks: The Building Blocks of Deep Learning -- 4. A Brief History of Deep Learning -- 5. Convolutional and Recurrent Neural Networks -- 6. Learning Functions -- 7. The Future of Deep Learning
N2  - Artificial Intelligence is a disruptive technology across business and society. There are three long-term trends driving this AI revolution: the emergence of Big Data, the creation of cheaper and more powerful computers, and development of better algorithms for processing and learning from data. Deep learning is the subfield of Artificial Intelligence that focuses on creating large neural network models that are capable of making accurate data driven decisions. Modern neural networks are the most powerful computational models we have for analyzing massive and complex datasets, and consequently deep learning is ideally suited to take advantage of the rapid growth in Big Data and computational power. In the last ten years, deep learning has become the fundamental technology in computer vision systems, speech recognition on mobile phones, information retrieval systems, machine translation, game AI, and self-driving cars
ER  -