Recurrent neural networks

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Material type: Text

TextLanguage: ENG Publication details: New York; Springer; 2022ISBN:

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Barcode
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21063
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21064
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21065
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21066
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21067
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21068
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21069
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21070
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21071
EBOOKS	Rajarambapu Institute of Technology, Rajaramnagar	Reference Book	6.32 (Browse shelf(Opens below))	Available	EBOOKS	E21072

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Previous	6.32 Hands on neural networks with tensorflow 2.0 Understand tensorflow from static graph to eager execution and design neural networks	6.32 Hands on neural networks with tensorflow 2.0 Understand tensorflow from static graph to eager execution and design neural networks	6.32 Hands on neural networks with tensorflow 2.0 Understand tensorflow from static graph to eager execution and design neural networks	6.32 Recurrent neural networks	6.32 Recurrent neural networks	6.32 Recurrent neural networks	6.32 Recurrent neural networks	Next

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