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Tipul înregistrării:	Text tipărit: monografic
Autor:	Aggarwal, Charu C.
Responsabilitate:	Charu C. Aggarwal
Editura:	Springer
Locul publicării:	Cham, Switzerland
Anul Ediției:	2018
ISBN:	978-3-319-94462-3
Descriere:	498 p.; 24 cm
Limba:	Engleză
Subiect:	Ştiinţa şi tehnologia calculatoarelor. Prelucrarea datelor - Reţea neurală - Arhitectură neurală
Cota topografică:	004 / A 27
Clasificare:	004.032.26
Note conţinut (cuprins):	1. An Introduction to Neural Networks - p. 1
Note conţinut (cuprins):	2. Machine Learning with Shallow Neural Networks - p. 53
Note conţinut (cuprins):	3. Training Deep Neural Networks - p. 105
Note conţinut (cuprins):	4. Teaching Deep Learners to Generalize - p. 169
Note conţinut (cuprins):	5. Radial Basis Function Networks - p. 217
Note conţinut (cuprins):	6. Restricted Boltzmann Machines - p. 235
Note conţinut (cuprins):	7. Recurrent Neural Networks - p. 271
Note conţinut (cuprins):	8. Convolutional Neural Networks - p. 315
Note conţinut (cuprins):	9. Deep Reinforcement Learning - p. 373
Note conţinut (cuprins):	10. Advanced Topics in Deep Learning - p. 419
Note conţinut (cuprins):	Bibliography - 459
Note conţinut (cuprins):	Index - p. 493

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327 # # $a 10. Advanced Topics in Deep Learning - p. 419
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327 # # $a Index - p. 493
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