dterg
/ Attention.py
Created
June 4, 2018 16:43
— forked from cbaziotis/Attention.py
Keras Layer that implements an Attention mechanism for temporal data. Supports Masking. Follows the work of Raffel et al. [https://arxiv.org/abs/1512.08756]
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| from keras import backend as K, initializers, regularizers, constraints | |
| from keras.engine.topology import Layer | |
| def dot_product(x, kernel): | |
| """ | |
| Wrapper for dot product operation, in order to be compatible with both | |
| Theano and Tensorflow | |
| Args: |
dterg
/ gensim2projector_tf.py
Created
August 21, 2017 23:32
— forked from lampts/gensim2projector_tf.py
how to convert/port gensim word2vec to tensorflow projector board.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # required tensorflow 0.12 | |
| # required gensim 0.13.3+ for new api model.wv.index2word or just use model.index2word | |
| from gensim.models import Word2Vec | |
| import tensorflow as tf | |
| from tensorflow.contrib.tensorboard.plugins import projector | |
| # loading your gensim | |
| model = Word2Vec.load("YOUR-MODEL") |