000			a
999			_c32169 _d32169
008			230904b xxu||||| |||| 00| 0 eng d
020			_a9789354493874
082			_a006.31 _bDAS
100			_aDas, Amit Kumar
245			_aDeep learning
260			_bPearson India, _c2021 _aNoida :
300			_axxiv, 524 p. ; _bill., (b & w), _c24 cm
365			_b825.00 _cINR _d01
504			_aIncludes index.
520			_aThis book is intended to help readers understand the concepts first and then move-on to hone their programming skills to become deep learning practitioners in the true sense. It covers the basic concepts in deep learning, deep learning architectures, including recurrent neural networks as well as such recent developments as Generative Adversarial Networks. Fundamentals of Neural Networks as well as Training Deep Neural Networks is also included. The book is a must-have for students who are looking for a complete reference text on deep learning as well as industry practitioners from diverse fields who want to start their journey in the field of data science.
650			_aArtificial intelligence
650			_aMachine learning
650			_aNeural network
650			_aAutomatic learning
650			_aComputer science
700			_aGoswami, Saptarsi
700			_aMitra, Pabitra
700			_aChakrabarti, Amlan
942			_2ddc _cBK