Bileschi stanley (3 risultati)

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  • Lingua: Inglese

    Editore: Manning Publications, US, 2020

    1617296171 / 9781617296178

    • Brossura

    Da: Rarewaves USA, HEBRON, KY, U.S.A.Rarewaves USA

    Venditore con 5 stelle
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    Condizione: Nuovo

    EUR 47,98

     Spedizione gratuita 
    Spedito in U.S.A.

    Quantità: 10 disponibili

    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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    Lingua: Inglese

    Editore: Manning Publications, US, 2020

    1617296171 / 9781617296178

    • Brossura

    Da: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 49,89

    EUR 43,89 spedizione 
    Spedito in U.S.A.

    Quantità: 10 disponibili

    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.…

  • Lingua: Inglese

    Editore: Manning Publications, 2020

    1617296171 / 9781617296178

    • Brossura

    Da: moluna, Greven, Germaniamoluna

    Venditore con 5 stelle
    Contatta il venditore

    Condizione: Nuovo

    EUR 53,47

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    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 Learn.