Layer normalization implemented in Keras
Project description
Keras Layer Normalization
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Close
Hashes for keras-layer-normalization-0.10.0.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a42be0bfdad2000b804c971e949396e9bc9a88a706bc058e72ab66b77b1cab4e |
|
MD5 | ab66693dd3a268f74ea82c3858b06818 |
|
BLAKE2b-256 | f10904b0adc7ebf64021380a3abe4c686507df46f5e754bfd137806e5427c191 |