Practical Tensorflow.js : Deep Learning in Web App Development, Paperback by ...

Description: Practical : Deep Learning in Web App Development, Paperback by Rivera, Juan De Dios Santos, ISBN 1484262727, ISBN-13 9781484262726, Brand New, Free shipping in the US Develop and deploy deep learning web apps using the library. TensorFlow.?js? is part of a bigger framework named TensorFlow, which has many tools that supplement it, such as TensorBoard?, ?ml5js?, ?tfjs-vis. This book will cover all these technologies and show they integrate with TensorFlow.?js? to create intelligent web apps.

The most common and accessible platform users interact with everyday is their web browser, making it an ideal environment to deploy AI systems. is a well-known and battle-tested library for creating browser solutions. Working in JavaScript, the so-called language of the web, directly on a browser, you can develop and serve deep learning work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN), and generative adversarial network (GAN). Through hands-on examples, apply these networks in use cases related to image classification, natural language processing, object detection, dimensionality reduction, image translation, transfer learning, and time series analysis.

Also, these topics are very varied in terms of the kind of data they use, their output, and the training phase. Not everything in machine learning is deep networks, there is also what some call shallow or traditional machine learning. While is not the most common place to implement these, youll be introduce them and review the basics of machine learning through Youll Learn

Build deep learning products suitable for web browsers
Work with deep learning algorithms such as feedforward neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN), and generative adversarial network (GAN)
Develop apps using image classification, natural language processing, object detection, dimensionality reduction, image translation, transfer learning, and time series analysis

Who This Book Is For

Programmers developing deep learning solutions for the web and those who want to learn with at least minimal programming and software development knowledge. No prior JavaScript knowledge is required, but familiarity with it is helpful.

Price: 45.34 USD

Location: Jessup, Maryland

End Time: 2024-03-17T03:22:03.000Z

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