Deep Learning with JavaScript: Neural networks in TensorFlow.js

Price: $49.99 – $44.01
(as of Dec 24,2024 12:26:05 UTC – Details)

Publisher ‏ : ‎ Manning; First Edition (February 11, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 560 pages
ISBN-10 ‏ : ‎ 1617296171
ISBN-13 ‏ : ‎ 978-1617296178
Item Weight ‏ : ‎ 2.02 pounds
Dimensions ‏ : ‎ 7.38 x 1.1 x 9.25 inches

Deep Learning with JavaScript: Neural networks in TensorFlow.js

In recent years, deep learning has revolutionized the field of artificial intelligence, enabling machines to learn and make decisions in a way that mimics the human brain. One popular framework for building neural networks is TensorFlow, developed by Google. And now, with the release of TensorFlow.js, developers can harness the power of deep learning directly in the browser using JavaScript.

TensorFlow.js allows you to build, train, and deploy machine learning models entirely in the browser, without the need for any server-side computations. This opens up a world of possibilities for web developers looking to incorporate AI into their applications.

Neural networks, the building blocks of deep learning, can be created with just a few lines of code in TensorFlow.js. By defining layers, activation functions, and optimization algorithms, you can train a model to recognize patterns in data and make predictions.

Whether you’re interested in image recognition, natural language processing, or any other machine learning task, TensorFlow.js makes it easy to experiment and iterate on your models. And with the ability to run these models directly in the browser, you can create interactive experiences that respond in real-time to user input.

So if you’re looking to dive into the world of deep learning with JavaScript, give TensorFlow.js a try. With its intuitive API and powerful capabilities, you’ll be on your way to building intelligent applications in no time.
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