Deep learning / John D. Kelleher

By:

Kelleher, John D [author]

Material type: Text

TextPublication details: Cambridge, Massachusetts : The MIT Press, c2019Description: x, 280 pages : illustrations ; 18 cmISBN:

9780262537551

Subject(s):

ARTIFICIAL INTELLIGENCE

LOC classification:

Q 325.5 .K45 2019

Contents:

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.

Summary: 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.

Item type:

Books

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Holdings
Item type	Current library	Home library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	National University - Manila	LRC - Main General Circulation	Machine Learning	GC Q 325.5 .K45 2019 (Browse shelf(Opens below))	c.1	Available		NULIB000019543

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Includes bibliographical references.

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.

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