Deep learning with JavaScript : neural networks in TensorFlow.js

Deep learning with JavaScript neural networks in TensorFlow.js

In Deep Learning with JavaScript , you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, ima...

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Detalles Bibliográficos
Otros Autores: Cai, Shanqing, author (author), Bileschi, Stanley, 1978- author (contributor), Nielsen, Eric D., 1977- author (writer of foreword), Chollet, François, contributor, Thorat, Nikhil, writer of foreword, Smilkov, Daniel, writer of foreword
Formato: Libro electrónico
Idioma:Inglés
Publicado: Shelter Island, New York : Manning [2020]
Edición:1st edition
Materias:
TensorFlow.
JavaScript (Computer program language)
Machine learning.
Artificial intelligence.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631368706719
Descripción
Sumario:In Deep Learning with JavaScript , you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, you’ll master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation.
Descripción Física:1 online resource (560 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9781638351542

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