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Resilient backpropagation algorithm (RProp) optimizer implemented for Keras/TF

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About

This is a simple implementation of the Rprop (Riedman et al 1994) algorithm for Keras, which should be easy to reimplement to Tensorflow.

Usage

Just add to your codebase and implement, pass it along as a optimizer to your “model.compile(optimizer=prop-optimizer-object)”

About

Resilient backpropagation algorithm (RProp) optimizer implemented for Keras/TF

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