Plot the test images from 'test_list', their predicted labels, and the true labels.

gistfile1.txt

# Plot the test images from 'test_list', their predicted labels, and the true labels.
# Color correct predictions in green and incorrect predictions in red.

test_list= [16, 17, 22, 23, 24, 25, 39, 40, 41, 42, 48, 49, 50, 51]
num_rows = 7
num_cols = 2
num_images = num_rows * num_cols
#plt.figure(figsize=(2*2*num_cols, 2*num_rows))
plt.figure(figsize=(10,14))
for i in range(num_images):
  plt.subplot(num_rows, 2*num_cols, 2*i+1)
  plot_image(test_list[i], predictions[test_list[i]], test_labels, test_images)
  plt.subplot(num_rows, 2*num_cols, 2*i+2)
  plot_value_array(test_list[i], predictions[test_list[i]], test_labels)
plt.tight_layout()
plt.show()