mohammedgomaa
mohammedgomaa
/ catboost_playground.ipynb
Created
November 13, 2018 20:51
— forked from talperetz/catboost_playground.ipynb
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talperetz
/ catboost_playground.ipynb
Last active
July 1, 2023 22:25
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| """ | |
| A bare bones examples of optimizing a black-box function (f) using | |
| Natural Evolution Strategies (NES), where the parameter distribution is a | |
| gaussian of fixed standard deviation. | |
| """ | |
| import numpy as np | |
| np.random.seed(0) | |
| # the function we want to optimize |
jkleint
/ timeseries_cnn.py
Created
July 29, 2016 04:05
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
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| #!/usr/bin/env python | |
| """ | |
| Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction. | |
| """ | |
| from __future__ import print_function, division | |
| import numpy as np | |
| from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten | |
| from keras.models import Sequential |