000			02320nam a22002897a 4500
005			20260727151005.0
008			260727s2026 |||||||| |||| 00| 0 eng d
020			_a9781633438859
040			_cPK-LaUMT
082			_a005.133 _bDEE-
245	0	0	_aDeep learning with PyTorch : _btraining and applying deep learning and generative AI models / _cLuca Antiga . . . [et al.]
250			_a2nd ed.
260			_aShelter Island : _bManning, _c2026
300			_axxviii, 514 p.
500			_aIndex present
520			_aEverything you need to create neural networks with PyTorch, including Large Language and diffusion models. PyTorch core developer Howard Huang updates the bestselling original Deep Learning with PyTorch with new insights into the transformers architecture and generative AI models. In Deep Learning with PyTorch, Second Edition you⁰́₉ll find: Deep learning fundamentals reinforced with hands-on projects Mastering PyTorch's flexible APIs for neural network development Implementing CNNs, transformers, and diffusion models Optimizing models for training and deployment Generative AI models to create images and text Instantly familiar to anyone who knows PyData tools like NumPy, PyTorch simplifies deep learning without sacrificing advanced features. In Deep Learning with PyTorch, Second Edition you⁰́₉ll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch⁰́₉s built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. You⁰́₉ll discover how easy PyTorch makes it to build your entire DL pipeline, including using the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. Each new technique you learn is put into action with practical code examples in each chapter, culminating into you building your own convolution neural networks, transformers, and even a real-world medical image classifier
546			_aEng
650			_aPython (Computer program language) _93584
650			_aPyTorch (electronic resource) _914263
650			_aMachine learning
650			_aDeep learning
700	1		_aAntiga, Luca _914264
700	1		_aStevens, Eli _914265
700	1		_aHuang, Howard _914266
700	1		_aViehmann, Thomas _914267
942			_cBK
999			_c141676 _d141676