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Title: | Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence |
Authors: | Skansi, Sandro |
Keywords: | Calculus, logical Intelligence, Artificial |
Issue Date: | 2018 |
Publisher: | Springer |
Series/Report no.: | Undergraduate Topics in Computer Science; |
Abstract: | This book is intended to be a first introduction to deep learning. Deep learning is a special kind of learning with deep artificial neural networks, although today deep learning and artificial neural networks are considered to be the same field. Artificial neural networks are a subfield of machine learning which is in turn a subfield of both statistics and artificial intelligence (AI). Artificial neural networks are vastly more popular in artificial intelligence than in statistics. Deep learning today is not happy with just addressing a subfield of a subfield, but tries to make a run for the whole AI. An increasing number of AI fields like reasoning and planning, which were once the bastions of logical AI (also called the Good Old-Fashioned AI, or GOFAI), are now being tackled successfully by deep learning. In this sense, one might say that deep learning is an approach in AI, and not just a subfield of a subfield of AI. |
Description: | 196 p. |
URI: | http://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/57959 |
ISBN: | 978-3-319-73003-5 978-3-319-73004-2 (eBook) |
Appears in Collections: | Computer science |
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