Gant Laborde
Learning Tensorflow.js: Powerful Machine Learning in JavaScript
Learning Tensorflow.js: Powerful Machine Learning in JavaScript
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Excellent- More about Learning Tensorflow.js: Powerful Machine Learning in JavaScript
TensorFlow.js is a Google framework that enables AI veterans and web developers to build AI-driven websites. This guide provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience, covering neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more.
\n Format: Paperback / softback
\n Length: 300 pages
\n Publication date: 18 May 2021
\n Publisher: O'Reilly Media, Inc, USA
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The demand for artificial intelligence (AI) and the widespread use of JavaScript have inevitably led to the development of TensorFlow.js, a Google framework that empowers both seasoned AI veterans and web developers to shape the future of AI-driven websites. In this comprehensive guide, author Gant Laborde, a Google Developer Expert in machine learning and the web, offers a hands-on end-to-end approach to TensorFlow.js fundamentals, catering to a diverse technical audience, including data scientists, engineers, web developers, students, and researchers.
Beginning with basic examples in TensorFlow.js, the book delves deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. By the end of this book, readers will possess the knowledge and skills to build and deploy production-ready deep learning systems using TensorFlow.js.
TensorFlow.js revolves around tensors, the fundamental building blocks of machine learning. Readers will explore how to create, manipulate, and convert data into tensors, using real-world examples to reinforce their understanding. The book also demonstrates how to seamlessly integrate AI with the web using TensorFlow.js, enabling the creation of powerful web applications that leverage the power of machine learning.
Furthermore, TensorFlow.js provides valuable resources for converting, training, and managing machine learning data. Readers will learn how to utilize these resources to streamline the process of building and training their own training models from scratch, ensuring that they can tailor their deep learning systems to meet specific requirements.
In conclusion, TensorFlow.js is a powerful framework that empowers both AI veterans and web developers to drive the future of AI-driven websites. With its comprehensive coverage of TensorFlow.js fundamentals, readers will gain the knowledge and skills needed to build and deploy production-ready deep learning systems, enabling them to unlock the full potential of AI in the web and beyond.
\n Weight: 582g\n
Dimension: 276 x 233 x 21 (mm)\n
ISBN-13: 9781492090793\n \n
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