Lekton takato3000
wassname
/ keras_attention_wrapper.py
Created
November 1, 2016 08:06
A keras attention layer that wraps RNN layers.
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| """ | |
| A keras attention layer that wraps RNN layers. | |
| Based on tensorflows [attention_decoder](https://github.com/tensorflow/tensorflow/blob/c8a45a8e236776bed1d14fd71f3b6755bd63cc58/tensorflow/python/ops/seq2seq.py#L506) | |
| and [Grammar as a Foreign Language](https://arxiv.org/abs/1412.7449). | |
| date: 20161101 | |
| author: wassname | |
| url: https://gist.github.com/wassname/5292f95000e409e239b9dc973295327a | |
| """ |
hnykda
/ keras_prediction.py
Last active
August 21, 2020 01:33
Predicting sequences of vectors (regression) in Keras using RNN - LSTM (danielhnyk.cz)
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| import pandas as pd | |
| from random import random | |
| flow = (list(range(1,10,1)) + list(range(10,1,-1)))*100 | |
| pdata = pd.DataFrame({"a":flow, "b":flow}) | |
| pdata.b = pdata.b.shift(9) | |
| data = pdata.iloc[10:] * random() # some noise | |
| import numpy as np |