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Advanced deep learning with keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients.

By:

Atienza, Rowel

Material type: Text

Text

TextPublication details: Mumbai: Packt, ©2018Edition: 1st edDescription: x, 350pISBN:

9781788629416

Subject(s):

DDC classification:

006.32 ATI

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	GCET LIBRARY B. Tech (AI)	Artificial intelligence	006.32 ATI (Browse shelf(Opens below))	Available		072495
Books	GCET LIBRARY B. Tech (AI)	Artificial intelligence	006.32 ATI (Browse shelf(Opens below))	Available		072496

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Previous	006.31015195 DAN Statistics for machine learning: Techniques for exploring supervised, unsupervised and reinforcement learning models with Python and R	006.31015195 DAN Statistics for machine learning: Techniques for exploring supervised, unsupervised and reinforcement learning models with Python and R	006.32 ATI Advanced deep learning with keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients.	006.32 ATI Advanced deep learning with keras: Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients.	006.32 BER Deep learning quick reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras	006.32 RAJ Neural networks, fuzzy systems and evolutionary algorithms: Synthesis and applications	006.32 RAJ Neural networks, fuzzy systems and evolutionary algorithms: Synthesis and applications	Next

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