Librería:
HPB-Red, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 11 de marzo de 2019
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! N° de ref. del artículo S_430542569
Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R.
Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node.
TensorFlow.js is an open-source JavaScript library for defining, training, and deploying deep learning models to the web browser. It’s quickly gaining popularity with developers for its amazing set of benefits including scalability, responsiveness, modularity, and portability.
Shanging Cai and Eric Nielsen are senior software engineers on the Google Brain team.
Stan Bileschi is the technical lead for Google’s TensorFlow Usability team, which built the TensorFlow Layers API. All three have advanced degrees from MIT. Together, they’re responsible for writing most of TensorFlow.js.
Acerca del autor:
Shanging Cai and Eric Nielsen are senior software engineers on the Google Brain team.
Stan Bileschi is the technical lead for Google’s TensorFlow Usability team, which built the TensorFlow Layers API. All three have advanced degrees from MIT. Together, they’re responsible for writing most of TensorFlow.js.
Título: Deep Learning with JavaScript: Neural ...
Editorial: Manning Publications
Año de publicación: 2020
Encuadernación: Paperback
Condición: Good
Librería: Mahler Books, PFLUGERVILLE, TX, Estados Unidos de America
Paperback. Condición: Fair. This book is in good condition; no remainder marks. The book has some shelfwear. Many highlighted passages in the first 230 pages. ; 7.38 X 1.1 X 9.25 inches; 560 pages. Nº de ref. del artículo: 08GW25-503-214
Cantidad disponible: 1 disponibles
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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! Nº de ref. del artículo: S_320998846
Cantidad disponible: 1 disponibles
Librería: HPB-Emerald, Dallas, TX, Estados Unidos de America
paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_453408726
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Librería: HPB-Diamond, Dallas, TX, Estados Unidos de America
Paperback. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_454514355
Cantidad disponible: 1 disponibles
Librería: medimops, Berlin, Alemania
Condición: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. Nº de ref. del artículo: M01617296171-G
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Librería: INDOO, Avenel, NJ, Estados Unidos de America
Condición: As New. Unread copy in mint condition. Nº de ref. del artículo: SS9781617296178
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Librería: INDOO, Avenel, NJ, Estados Unidos de America
Condición: New. Brand New. Nº de ref. del artículo: 9781617296178
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Librería: moluna, Greven, Alemania
Condición: New. Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learn. Nº de ref. del artículo: 276075413
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Librería: Rarewaves USA, OSWEGO, IL, Estados Unidos de America
Paperback. Condición: New. Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node. Deploying computer vision, audio, and natural language processing in the browser Fine-tuning machine learning models with client-side data Constructing and training a neural network Interactive AI for browser games using deep reinforcement learning Generative neural networks to generate music and pictures TensorFlow.js is an open-source JavaScript library for defining, training, and deploying deep learning models to the web browser. It's quickly gaining popularity with developers for its amazing set of benefits including scalability, responsiveness, modularity, and portability. Shanging Cai and Eric Nielsen are senior software engineers on the Google Brain team. Stan Bileschi is the technical lead for Google's TensorFlow Usability team, which built the TensorFlow Layers API. All three have advanced degrees from MIT. Together, they're responsible for writing most of TensorFlow.js. Nº de ref. del artículo: LU-9781617296178
Cantidad disponible: 10 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. Nº de ref. del artículo: B9781617296178
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