Skip to main content

Unofficial implementation of ON-LSTM

Project description

Keras Ordered Neurons LSTM

Travis Coverage 996.ICU

Unofficial implementation of ON-LSTM.

Install

pip install keras-ordered-neurons

Usage

Same as LSTM except that an extra argument chunk_size should be given:

from keras.models import Sequential
from keras.layers import Embedding, Bidirectional, Dense
from keras_ordered_neurons import ONLSTM

model = Sequential()
model.add(Embedding(input_shape=(None,), input_dim=10, output_dim=100))
model.add(Bidirectional(ONLSTM(units=50, chunk_size=5)))
model.add(Dense(units=2, activation='softmax'))
model.compile(optimizer='adam', loss='sparse_categorical_crossentropy')
model.summary()

Project details


Download files

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

Source Distribution

keras-ordered-neurons-0.4.0.tar.gz (6.9 kB view details)

Uploaded Source

File details

Details for the file keras-ordered-neurons-0.4.0.tar.gz.

File metadata

  • Download URL: keras-ordered-neurons-0.4.0.tar.gz
  • Upload date:
  • Size: 6.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.4.2 requests/2.18.4 setuptools/41.0.1 requests-toolbelt/0.8.0 tqdm/4.24.0 CPython/3.6.4

File hashes

Hashes for keras-ordered-neurons-0.4.0.tar.gz
Algorithm Hash digest
SHA256 218547b71857e7b92b2e493132ec3899824c614fc743265ecec2f4dbcd8d1927
MD5 aa3400a17c272f86e0ff8346e9c8bcd2
BLAKE2b-256 e524aceaddc869a103965cd9c72fc5ccc055078ed0cedd958dca647f910add8f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page