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wmlba/noise_images.py

Created April 22, 2019 12:17
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noise_images.py
# The code below is from the Keras Blogs
# https://blog.keras.io/building-autoencoders-in-keras.html
noise_factor = 0.5
x_train_noisy = x_train + noise_factor * np.random.normal(loc=0.0, scale=1.0, size=x_train.shape)
x_test_noisy = x_test + noise_factor * np.random.normal(loc=0.0, scale=1.0, size=x_test.shape)
x_train_noisy = np.clip(x_train_noisy, 0., 1.)
x_test_noisy = np.clip(x_test_noisy, 0., 1.)
#Print one image to see the noise
plt.imshow(x_test_noisy[1].reshape(28, 28))
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