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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)实际上不是94年这篇 是原版的那一篇 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)”

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

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  • Python 100.0%