Please use this identifier to cite or link to this item: http://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/57959
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dc.contributor.authorSkansi, Sandro-
dc.date.accessioned2021-08-23T02:42:32Z-
dc.date.available2021-08-23T02:42:32Z-
dc.date.issued2018-
dc.identifier.isbn978-3-319-73003-5-
dc.identifier.isbn978-3-319-73004-2 (eBook)-
dc.identifier.urihttp://thuvien.ued.udn.vn/handle/TVDHSPDN_123456789/57959-
dc.description196 p.vi
dc.description.abstractThis 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.vi
dc.description.tableofcontentsFrom Logic to Cognitive Science; Mathematical and Computational Prerequisites; Machine Learning Basics; Feedforward Neural Networks; Modifications and Extensions to a Feed-Forward Neural Network; Convolutional Neural Networks; Recurrent Neural Networks; Autoencoders...vi
dc.language.isoen_USvi
dc.publisherSpringervi
dc.relation.ispartofseriesUndergraduate Topics in Computer Science;-
dc.subjectCalculus, logicalvi
dc.subjectIntelligence, Artificialvi
dc.titleIntroduction to Deep Learning: From Logical Calculus to Artificial Intelligencevi
dc.typeBookvi
Appears in Collections:Computer science

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