Books/Deep Learning with Javascript: Example-Based Approach
Book cover from the publisher catalogue.
Books
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.
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There is a strong reading opportunity in the space between Computer Science and AI & Machine Learning. “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. The exciting next step is practical: choose a small outcome connected to the topic, attempt it, and use the reading to sharpen your decisions. A modest project can make an ambitious subject feel much more tangible. Save it for the next time you want to follow the idea further.
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.
The listed 166 pages give a sense of extent; page count alone does not establish depth or difficulty.
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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.
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