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Añadir al carritoPaperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 0.95.
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Añadir al carritoPaperback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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EUR 39,84
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Librería: Lakeside Books, Benton Harbor, MI, Estados Unidos de America
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Añadir al carritoCondición: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
Librería: Amazing Books Pittsburgh, Pittsburgh, PA, Estados Unidos de America
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Añadir al carritounknown_binding. Condición: Very Good. clean, sturdy and unmarked EP.
Publicado por O'Reilly Media 10/1/2019, 2019
ISBN 10: 1492041416 ISBN 13: 9781492041412
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 42,38
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Añadir al carritoPaperback or Softback. Condición: New. Deep Learning from Scratch: Building with Python from First Principles 0.9. Book.
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 43,82
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EUR 42,37
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
EUR 47,36
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Añadir al carritoPaperback. Condición: New. With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you'll be set up for success on all future deep learning projects.This book provides:Extremely clear and thorough mental models-accompanied by working code examples and mathematical explanations-for understanding neural networksMethods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented frameworkWorking implementations and clear-cut explanations of convolutional and recurrent neural networksImplementation of these neural network concepts using the popular PyTorch framework.
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 47,95
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Publicado por O'Reilly Media, Sebastopol, 2019
ISBN 10: 1492041416 ISBN 13: 9781492041412
Idioma: Inglés
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
EUR 51,06
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Añadir al carritoPaperback. Condición: new. Paperback. With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. Youll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. Youll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, youll be set up for success on all future deep learning projects.This book provides:Extremely clear and thorough mental modelsaccompanied by working code examples and mathematical explanationsfor understanding neural networksMethods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented frameworkWorking implementations and clear-cut explanations of convolutional and recurrent neural networksImplementation of these neural network concepts using the popular PyTorch frameworkAbout the AuthorSeth is a data scientist who lives in San Francisco. He has been obsessed with understanding Deep Learning ever since he began learning about it in late 2016 and has been writing and speaking about it whenever he can ever since. Professionally, he has applied a variety of machine learning models in industry, taught data science to individuals and companies, and works on modeling and Python projects on the side. Full time, he teaches data science to companies via the Corporate Training team at Metis. He strives to find the simplicity on the other side of complexity. With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,81
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EUR 60,50
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Añadir al carritoPaperback. Condición: New. With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you'll be set up for success on all future deep learning projects.This book provides:Extremely clear and thorough mental models-accompanied by working code examples and mathematical explanations-for understanding neural networksMethods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented frameworkWorking implementations and clear-cut explanations of convolutional and recurrent neural networksImplementation of these neural network concepts using the popular PyTorch framework.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 47,83
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EUR 45,82
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EUR 50,24
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 526.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 49,56
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Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 60,15
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Añadir al carritoCondición: New. 2019. Paperback. . . . . . Books ship from the US and Ireland.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 57,14
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Librería: medimops, Berlin, Alemania
EUR 27,47
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Añadir al carritoCondición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 69,74
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Añadir al carritoCondición: New. pp. 252.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 77,95
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Añadir al carritoCondición: New. pp. 252.
EUR 43,15
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Publicado por Oreilly & Associates Inc, 2019
ISBN 10: 1492041416 ISBN 13: 9781492041412
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 62,61
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Añadir al carritoPaperback. Condición: Brand New. 235 pages. 9.00x7.00x0.50 inches. In Stock.
EUR 49,17
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Añadir al carritoPaperback. Condición: New. With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You'll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. You'll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, you'll be set up for success on all future deep learning projects.This book provides:Extremely clear and thorough mental models-accompanied by working code examples and mathematical explanations-for understanding neural networksMethods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented frameworkWorking implementations and clear-cut explanations of convolutional and recurrent neural networksImplementation of these neural network concepts using the popular PyTorch framework.
Publicado por O'Reilly Media, Sebastopol, 2019
ISBN 10: 1492041416 ISBN 13: 9781492041412
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 57,76
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Añadir al carritoPaperback. Condición: new. Paperback. With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. Youll start with deep learning basics and move quickly to the details of important advanced architectures, implementing everything from scratch along the way.Author Seth Weidman shows you how neural networks work using a first principles approach. Youll learn how to apply multilayer neural networks, convolutional neural networks, and recurrent neural networks from the ground up. With a thorough understanding of how neural networks work mathematically, computationally, and conceptually, youll be set up for success on all future deep learning projects.This book provides:Extremely clear and thorough mental modelsaccompanied by working code examples and mathematical explanationsfor understanding neural networksMethods for implementing multilayer neural networks from scratch, using an easy-to-understand object-oriented frameworkWorking implementations and clear-cut explanations of convolutional and recurrent neural networksImplementation of these neural network concepts using the popular PyTorch frameworkAbout the AuthorSeth is a data scientist who lives in San Francisco. He has been obsessed with understanding Deep Learning ever since he began learning about it in late 2016 and has been writing and speaking about it whenever he can ever since. Professionally, he has applied a variety of machine learning models in industry, taught data science to individuals and companies, and works on modeling and Python projects on the side. Full time, he teaches data science to companies via the Corporate Training team at Metis. He strives to find the simplicity on the other side of complexity. With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.