Deep Learning for Coders with fastai and PyTorch

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3135499Deep Learning for Coders with fastai and PyTorchhttps://www.gandhi.com.mx/deep-learning-for-coders-with-fastai-and-pytorch-9781492045472/phttps://gandhi.vtexassets.com/arquivos/ids/2326716/212b93e9-79a8-40c4-b563-98cb9d195d46.jpg?v=638383823936300000MXNOReilly MediaOutOfStock/Ebooks/Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. Youll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.<ul><li>Train models in computer vision, natural language processing, tabular data, and collaborative filtering</li><li>Learn the latest deep learning techniques that matter most in practice</li><li>Improve accuracy, speed, and reliability by understanding how deep learning models work</li><li>Discover how to turn your models into web applications</li><li>Implement deep learning algorithms from scratch</li><li>Consider the ethical implications of your work</li><li>Gain insight from the foreword by PyTorch cofounder, Soumith Chintala</li></ul>...3071416Deep Learning for Coders with fastai and PyTorch00https://www.gandhi.com.mx/deep-learning-for-coders-with-fastai-and-pytorch-9781492045472/phttps://gandhi.vtexassets.com/arquivos/ids/2326716/212b93e9-79a8-40c4-b563-98cb9d195d46.jpg?v=638383823936300000OutOfStockMXN0DIEbook20209781492045472_W3siaWQiOiJiZjdmZGM1OS0zMGRlLTQ0ZTctOGUxMC0zNjI0MDRhMWNhOWIiLCJsaXN0UHJpY2UiOjY4MSwiZGlzY291bnQiOjE5MSwic2VsbGluZ1ByaWNlIjo0OTAsImluY2x1ZGVzVGF4Ijp0cnVlLCJwcmljZVR5cGUiOiJXaG9sZXNhbGUiLCJjdXJyZW5jeSI6Ik1YTiIsImZyb20iOiIyMDI0LTA1LTE2VDAyOjAwOjAwWiIsInJlZ2lvbiI6Ik1YIiwiaXNQcmVvcmRlciI6ZmFsc2V9XQ==9781492045472_Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. Youll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.<ul><li>Train models in computer vision, natural language processing, tabular data, and collaborative filtering</li><li>Learn the latest deep learning techniques that matter most in practice</li><li>Improve accuracy, speed, and reliability by understanding how deep learning models work</li><li>Discover how to turn your models into web applications</li><li>Implement deep learning algorithms from scratch</li><li>Consider the ethical implications of your work</li><li>Gain insight from the foreword by PyTorch cofounder, Soumith Chintala</li></ul>(*_*)9781492045472_Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications.Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. Youll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes.<ul><li>Train models in computer vision, natural language processing, tabular data, and collaborative filtering</li><li>Learn the latest deep learning techniques that matter most in practice</li><li>Improve accuracy, speed, and reliability by understanding how deep learning models work</li><li>Discover how to turn your models into web applications</li><li>Implement deep learning algorithms from scratch</li><li>Consider the ethical implications of your work</li><li>Gain insight from the foreword by PyTorch cofounder, Soumith Chintala</li></ul>...9781492045472_OReilly Medialibro_electonico_cf5c3b66-3df6-33a4-a08b-49a4d760b828_9781492045472;9781492045472_9781492045472Sylvain GuggerInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/oreilly-epub-cb2f94e1-ad52-478e-a074-42fe59d3116b.epub2020-06-29T00:00:00+00:00OReilly Media