000			01694nam a22002297a 4500
999			_c56508 _d56508
005			20200312145855.0
008			200312b ||||| |||| 00| 0 eng d
020			_a9789352139095
028			_aRaghav Books Private Limited _bA-184 A, Nand Gram, Ghaziabad, U.P. _c1805 _d07/03/2020
082			_a006.32 POI
100			_aIan Pointer
245			_aProgramming PyTorch for deep learning _b : creating and deploying deep learning applications _c/Ian Pointer
260			_aSebastopol, CA _b: O'Reilly Media, Inc. _c, 2019
300			_axv, 200 pages _c; 24 cm
365			_b775
505			_aGetting started with PyTorch -- Image classification with PyTorch -- Convolutional neural networks -- Transfer learning and other tricks -- Text classification -- A journey into sound -- Debugging PyTorch models -- PyTorch in production -- PyTorch in the wild.
520			_aTake the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the latest skills you need to create your very own neural networks. Ian Pointer shows you how to set up PyTorch on a cloud-based environment, then walks you through the creation of neural architectures that facilitate operations on images, sound, text, and more through deep dives into each element. He also covers the critical concepts of applying transfer learning to images, debugging models, and PyTorch in production.
650			_aComputer Science
655			_aMachine learning _bPython (Computer program language)
700			_aIan Pointer
942			_cBOOK