February 2020
Intermediate to advanced
560 pages
22h 18m
English
Content preview from Deep Learning with JavaScriptBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 4. Recognizing images and sounds using convnets
This chapter covers
- How images and other perceptual data, such as audio, are represented as multidimensional tensors
- What convnets are, how they work, and why they are especially suitable for machine-learning tasks involving images
- How to write and train a convnet in TensorFlow.js to solve the task of classifying hand-written digits
- How to train models in Node.js to achieve faster training speeds
- How to use convnets on audio data for spoken-word recognition
The ongoing deep-learning revolution started with breakthroughs in image-recognition tasks such as the ImageNet competition. There is a wide range of useful and technically interesting problems that involve images, from recognizing ...
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