9781617295263 - deep learning with pytorch: build, train, and tune neural networks using python tools de stevens, eli; antiga, luca (34 resultados)
- Tapa blanda
Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de AmericaWorld of Books (was SecondSale)
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 16,60
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 2 disponibles
Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
- Tapa blanda
Librería: Dream Books Co., Denver, CO, Estados Unidos de AmericaDream Books Co.
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Regular
EUR 16,61
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.
- Tapa blanda
Librería: Dream Books Co., Denver, CO, Estados Unidos de AmericaDream Books Co.
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 16,61
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly.
- Tapa blanda
Librería: Books for Life, LAUREL, MD, Estados Unidos de AmericaBooks for Life
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 16,85
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: good. Book is in good condition. Minimal signs of wear. It May have markings or highlights, but kept to only a few pages. May not come with supplemental materials if applicable.
- Tapa blanda
Librería: Austin Goodwill 1101, Austin, TX, Estados Unidos de AmericaAustin Goodwill 1101
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 14,51
Envío por EUR 2,86Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: good. Book shows general signs of use and handling. May have light wear on the cover or edges and minimal writing or highlighting. Binding remains tight, and pages are clean and readable.
- Tapa blanda
Librería: HPB-Red, Dallas, TX, Estados Unidos de AmericaHPB-Red
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Aceptable
EUR 14,33
Envío por EUR 3,25Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.
- Tapa blanda
Librería: ThriftBooks-Phoenix, Phoenix, AZ, Estados Unidos de AmericaThriftBooks-Phoenix
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 17,85
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
- Tapa blanda
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de AmericaThriftBooks-Dallas
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Regular
EUR 17,85
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
- Tapa blanda
Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de AmericaThriftBooks-Dallas
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 17,85
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
- Tapa blanda
Librería: Goodwill Books, Hillsboro, OR, Estados Unidos de AmericaGoodwill Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Regular
EUR 14,51
Envío por EUR 3,46Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Condición: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included.
- Tapa blanda
- Primera edición
Librería: BooksRun, Philadelphia, PA, Estados Unidos de AmericaBooksRun
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Bueno
EUR 24,22
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Very Good. First Edition. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
- Tapa blanda
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,78
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started qui…ckly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features Using the PyTorch tensor API Understanding automatic differentiation in PyTorch Training deep neural networks Monitoring training and visualizing results Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch. "For Python programmers with an interest in machine learning"--Back cover. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Tapa blanda
Librería: upickbook, Daly City, CA, Estados Unidos de Americaupickbook
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 42,69
Envío por EUR 6,91Se envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
paperback. Condición: New.
- Tapa blanda
Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 47,27
Envío por EUR 7,91Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 15 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
- Tapa blanda
Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 58,94
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: New. Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and th…en grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features . Using the PyTorch tensor API . Understanding automatic differentiation in PyTorch . Training deep neural networks . Monitoring training and visualizing results . Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
- Tapa blanda
Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 41,93
Envío por EUR 18,13Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: New.
- Tapa blanda
Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 59,87
Envío por EUR 7,61Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
- Tapa blanda
Librería: Chiron Media, Wallingford, Reino UnidoChiron Media
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 52,00
Envío por EUR 18,13Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 9 disponibles
paperback. Condición: New.
- Tapa blanda
Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 55,38
Envío por EUR 14,02Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. In.
Más imágenes- Tapa blanda
Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 71,96
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 11 disponibles
Paperback. Condición: New. Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and th…en grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features . Using the PyTorch tensor API . Understanding automatic differentiation in PyTorch . Training deep neural networks . Monitoring training and visualizing results . Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
- Tapa blanda
- Primera edición
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 63,45
Envío por EUR 9,50Se envía de Irlanda a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. 2020. 1st Edition. Paperback. . . . . .
- Tapa blanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 62,06
Envío por EUR 14,63Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Paperback. Condición: Brand New. 450 pages. 9.00x7.25x1.00 inches. In Stock.
- Tapa blanda
Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 66,48
Envío por EUR 14,63Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: Brand New. 450 pages. 9.00x7.25x1.00 inches. In Stock.
- Tapa blanda
Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 80,27
Envío por EUR 3,46Se envía dentro de Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
- Tapa blanda
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de AmericaKennys Bookstore
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 78,10
Envío por EUR 9,10Se envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. 2020. 1st Edition. Paperback. . . . . . Books ship from the US and Ireland.
- Tapa blanda
Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 77,03
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 3 disponibles
Condición: New.
- Tapa blanda
Librería: Speedyhen, Hertfordshire, Reino UnidoSpeedyhen
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 49,89
Envío por EUR 47,98Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: NEW.
- Tapa blanda
Librería: Studibuch, Stuttgart, AlemaniaStudibuch
Contactar con el vendedorVendedor de 5 estrellasCondición: Usado - Excelente
EUR 36,94
Envío por EUR 62,30Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
paperback. Condición: Sehr gut. 520 Seiten; 9781617295263.2 Gewicht in Gramm: 1.
- Tapa blanda
Librería: moluna, Greven, Alemaniamoluna
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 57,53
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Kartoniert / Broschiert. Condición: New. Über den AutorEli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software.Klappentextrn.
Más imágenes- Tapa blanda
Librería: Rarewaves USA United, OSWEGO, IL, Estados Unidos de AmericaRarewaves USA United
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 74,23
Envío por EUR 43,31Se envía dentro de Estados Unidos de AmericaCantidad disponible: 11 disponibles
Paperback. Condición: New. Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and th…en grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features . Using the PyTorch tensor API . Understanding automatic differentiation in PyTorch . Training deep neural networks . Monitoring training and visualizing results . Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.
