Deep Learning with JavaScript
Language: English
Published by Manning Publications, US, 2020
- Softcover
- New
Seller: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA
AbeBooks seller since June 10, 2025
Condition: New
£ 41.44
Quantity: 10 available
Add to basketItem description from seller
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.…
Seller Inventory # LU-9781617296178
- Title
- Deep Learning with JavaScript
- Author
- Shanqing Cai, Stanley Bileschi, Eric D Nielsen, François Chollet
- Publisher
- Manning Publications, US
- Publication year
- 2020
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1617296171
- ISBN 13
- 9781617296178
- Item weight
- 978 grams
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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