Skip to main content

Layer normalization implemented in Keras

Project description

Keras Layer Normalization

Travis Coverage

Implementation of the paper: Layer Normalization

Install

pip install keras-layer-normalization

Usage

import keras
from keras_layer_normalization import LayerNormalization


input_layer = keras.layers.Input(shape=(2, 3))
norm_layer = LayerNormalization()(input_layer)
model = keras.models.Model(inputs=input_layer, outputs=norm_layer)
model.compile(optimizer='adam', loss='mse', metrics={},)
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-layer-normalization-0.13.0.tar.gz (4.0 kB view hashes)

Uploaded Source

Supported by

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