machine-learning-gradient-descent's Introduction

Machine-Learning-Gradient-Descent

This one is based on the ES-project but this time I use gradient descent instead of evolution strategy.
Evolution strategy randomly modifies the coefficients. That is why it can take a long time until a local optimization is found.
It's possible that gradient descent gets stuck in a local minimum. You can identify this by the fact that the sum of the changes of the theta values is quite small.

Install Octave on a Mac with Homebrew Cask:

brew tap octave-app/octave-app
brew cask install octave-app

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