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@udibr
udibr / gruln.py
Last active November 7, 2020 02:34
Keras GRU with Layer Normalization
import numpy as np
from keras.layers import GRU, initializations, K
from collections import OrderedDict
class GRULN(GRU):
'''Gated Recurrent Unit with Layer Normalization
Current impelemtation only works with consume_less = 'gpu' which is already
set.
# Arguments
@j314erre
j314erre / text_cnn.py
Created July 13, 2016 00:00
load pre-trained word2vec into cnn-text-classification-tf
import tensorflow as tf
import numpy as np
class TextCNN(object):
"""
A CNN for text classification.
Uses an embedding layer, followed by a convolutional, max-pooling and softmax layer.
"""
def __init__(