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Sep 16th, 2018
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  1. plt.figure(figsize=(2*2*num_cols, 2*num_rows))
  2. plt.title("test")
  3. for i in range(num_images):
  4. plt.subplot(num_rows, 2*num_cols, 2*i+1)
  5. plot_image(i, predictions, test_labels, test_images)
  6. plt.subplot(num_rows, 2*num_cols, 2*i+2)
  7. plot_value_array(i, predictions, test_labels)
  8. plt.show()
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