Jeff Heaton's Intro to the Math of Neural Networks eBook Is Free to Download
blaizedsouza · x · 2026-09-11
Jeff Heaton's 112-page Introduction to the Math of Neural Networks is available as a complete free download (DRM-free PDF), alongside paid Kindle/paperback editions.
It covers the math behind neural network training: matrix mathematics, gradient descent, first/second derivatives, Hessian matrices, backpropagation, resilient propagation, Levenberg–Marquardt optimization, feedforward networks, and self-organizing maps.
The book page also includes errata (e.g., corrected error values in section 2.3.2) and supplementary derivations like the Sigmoid derivative.
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