Sheng Xu jsksxs360
cbaziotis
/ Attention.py
Last active
March 28, 2023 11:50
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: |
wassname
/ keras_weighted_categorical_crossentropy.py
Last active
December 19, 2023 18:17
Keras weighted categorical_crossentropy (please read comments for updated version)
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
| """ | |
| A weighted version of categorical_crossentropy for keras (2.0.6). This lets you apply a weight to unbalanced classes. | |
| @url: https://gist.github.com/wassname/ce364fddfc8a025bfab4348cf5de852d | |
| @author: wassname | |
| """ | |
| from keras import backend as K | |
| def weighted_categorical_crossentropy(weights): | |
| """ | |
| A weighted version of keras.objectives.categorical_crossentropy | |