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learcane / nes.py
Created November 17, 2019 08:35 — forked from karpathy/nes.py
Natural Evolution Strategies (NES) toy example that optimizes a quadratic function
"""
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
@learcane
learcane / timeseries_cnn.py
Created November 30, 2017 15:23 — forked from jkleint/timeseries_cnn.py
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
#!/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