ISBN: 9781617296178 - deep learning with javascript: neural networks in tensorflow.js (37 risultati)

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Paperback. Condizione: Very Good. 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.…

Paperback. Condizione: Good. 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.…

Paperback. Condizione: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Paperback. Condizione: Very Good. 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.…

Paperback. Condizione: Good. 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.…

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Paperback. Condizione: 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.

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Paperback. Condizione: 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.…

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Paperback. Condizione: new. Paperback. 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. Its 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 Googles TensorFlow Usability team, which built the TensorFlow Layers API. All three have advanced degrees from MIT. Together, theyre responsible for writing most of TensorFlow.js. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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