Python deep learning: exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow/ Ivan Vasilev [and four others].

Vasilev  Ivan

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dc.contributor.author	Vasilev Ivan
dc.date.accessioned	2024-01-26T21:32:10Z
dc.date.available	2024-01-26T21:32:10Z
dc.date.issued	2019
dc.identifier.citation	Vasilev. Python deep learning: exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow: Second edition. - 1 online resource (1 volume) : - URL: https://libweb.kpfu.ru/ebsco/pdf/2002295.pdf
dc.identifier.isbn	1789349702
dc.identifier.isbn	9781789349702
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/178236
dc.description.tableofcontents	Table of ContentsMachine Learning -- An IntroductionNeural NetworksDeep Learning FundamentalsComputer Vision With Convolutional NetworksAdvanced Computer VisionGenerating images with GANs and Variational AutoencodersRecurrent Neural Networks and Language ModelsReinforcement Learning TheoryDeep Reinforcement Learning for GamesDeep Learning in Autonomous Vehicles.
dc.language	English
dc.language.iso	en
dc.subject.other	Python (Computer program language)
dc.subject.other	Machine learning.
dc.subject.other	Neural networks (Computer science)
dc.subject.other	Artificial intelligence.
dc.subject.other	Artificial intelligence.
dc.subject.other	Machine learning.
dc.subject.other	Neural networks (Computer science)
dc.subject.other	Python (Computer program language)
dc.subject.other	Electronic books.
dc.title	Python deep learning: exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow/ Ivan Vasilev [and four others].
dc.type	Book
dc.description.pages	1 online resource (1 volume) :
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C211