Skip to content

Examples of RNNs for stock prediction and text generation. Created as a part of Udacity AI Nano-degree projects.

Notifications You must be signed in to change notification settings

vysotin/rnn_examples

Repository files navigation

Recurrent Neural Networks course project: time series prediction and text generation

Accelerating the Training Process

If your code is taking too long to run, you will need to either reduce the complexity of your chosen RNN architecture or switch to running your code on a GPU. If you'd like to use a GPU, you have two options:

Build your Own Deep Learning Workstation

If you have access to a GPU, you should follow the Keras instructions for running Keras on GPU.

Amazon Web Services

Instead of a local GPU, you could use Amazon Web Services to launch an EC2 GPU instance. (This costs money.)

Environment

Required libraries are listed in requirements.txt

About

Examples of RNNs for stock prediction and text generation. Created as a part of Udacity AI Nano-degree projects.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published