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Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

LeNet5 and MNIST using Keras

The original MNIST dataset contains 60,000 images in 28 x 28 pixel resolution, with a single grayscale containing handwritten digits from 0 to 9. A good alternative is the more challenging, but structurally similar, Fashion MNIST dataset, which we encountered in Chapter 12, Unsupervised Learning. See the mnist_with_ffnn_and_lenet5 notebook for implementation details.

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Publisher Resources

ISBN: 9781789346411Supplemental Content