Skip to main content

Keras implementation of Phased LSTM

Project description

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513], from NIPS 2016.

To install run: `pip install phased_lstm_keras`

Works both with Theano and Tensorflow backend (tested on Theano 0.9 and Tensorflow 1.0).

Classification performance compared to standard Keras LSTM for MNIST dataset:

Accuracy [red: PLSTM, black: LSTM] Loss [red: PLSTM, black: LSTM]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for phased-lstm-keras, version 1.0.2
Filename, size File type Python version Upload date Hashes
Filename, size phased_lstm_keras-1.0.2-py2.py3-none-any.whl (7.6 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page