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()
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-0.12.0.tar.gz
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 098525f946693e464050557155264b789e502362c3aa08135bf72a053f63ace1 |
|
| MD5 | af6ef579b21d1b0cdfedcfda05e18ca6 |
|
| BLAKE2b-256 | 957642878fe46bff8458d8aa1da50bfdf705d632d33dbb7b60db52a06faf2dad |
