Skip to content

GalvanizeOpenSource/Recurrent_Neural_Net_Meetup

Repository files navigation

Recurrent Neural Networks for Stock Price Prediction

At the Meetup, we'll be using Python 3 and numpy for about 2/3 of the evening. The last third will use Keras. You can use either the Theano or Tensorflow backend. We'll be working out of a text editor and the IPython console. Starter scripts are found in this repo, and they are written in such a way that you could put blocks in Jupyter Notebooks and evaluate them there instead.

Keras install instructions

  • Install keras using the command pip install keras

  • In the IPython shell, type import keras. It will fail (it can't find the tensorflow backend), but the whole point is to create the file at ~/.keras/keras.json that you need to edit to use the theano backend if you are using Theano. Read about that here.

This talk is based on resources from iamtrask, Andrey Karpathy, and Jakob Aungiers. Many of the scripts in this repo originated from their blogs, repos, and Github pages and you'll find a more detailed citation in the script. Most scripts have been modified - all errors induced (or fixed!) are my own.

About

Recurrent Neural Network presentation and files for Meet-Up

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages