Deep Learning with Javascript: Example-Based Approach

By Kenwright

Deep Learning with Javascript provides a beginners guide to getting started with neural networks. Through a hands-on approach the book provides a wide-range of interactive examples that the user is able to customize and expand to help them understand the concepts in a real-world sense. Using example-based learning and projects. The book has been formatted and designed with sample listings and support material, so whether or not you are currently an expert in Javascript and neural network development, actively working with an existing framework, or completely in the dark about this mysterious topic, this book has something for you. If you’re an experienced developer, you’ll find this book a light refresher to the subject, and if you’re deciding whether or not to delve into web-based games, this book may help you make that significant decision. The book introduces core mathematic fundamentals in addition to projects and exercises such as feature detection, inverse kinematics, text extaction from handwritten sources and much more. The text is organised to guide the reader through the exciting topic of deep learning from a ground-up hands-on perspective. Organized around the browser-based language (Javascript) in combination with popular open source libraries (Synaptic), the book includes numerous simplified practical examples in the body of the text as well as technical explanations on limitations and engineering workarounds.

Pages: 166
Publication: 29 June 2020
Language: English
ISBN: 9798660010767

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There is a strong reading opportunity in the space between Neural Networks and Books. “Deep Learning with Javascript: Example-Based Approach” brings those listed subjects onto the same shelf and gives your next question a place to start. Neural-network topics invite useful questions about inputs, outputs, and the evidence behind a result. Choose a small learning task and ask how you would recognise a meaningful improvement. Follow the most surprising question first. Sketch an explanation, imagine an alternative, and see what you would need to distinguish them. The best part of an interesting subject is often the next question it unlocks. A promising addition to a reading list with a purpose.

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Explore Books, Computers & Technology, Computer Science with a reading approach that gives the ideas somewhere to go. Neural-network topics invite useful questions about inputs, outputs, and the evidence behind a result. Choose a small learning task and ask how you would recognise a meaningful improvement.

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Publisher’s synopsis

Deep Learning with Javascript: Example-Based Approach offers a comprehensive and in-depth guide that walks you through the concepts, applications, and best practices. With a strong focus on hands-on examples and real-world relevance, it empowers you to not just learn the theory but to apply it in meaningful ways across graphics, compute, and more.

From the publisher