Created
December 5, 2018 03:00
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def plot_image(i, predictions_array, true_label, img): | |
predictions_array, true_label, img = predictions_array[i], true_label[i], img[i] | |
plt.grid(False) | |
plt.xticks([]) | |
plt.yticks([]) | |
plt.imshow(img, cmap=plt.cm.binary) | |
predicted_label = np.argmax(predictions_array) | |
if predicted_label == true_label: | |
color = 'green' | |
else: | |
color = 'red' | |
plt.xlabel("{} {:2.0f}% ({})".format(class_names[predicted_label], | |
100*np.max(predictions_array), | |
'True Label:'+ class_names[true_label]), | |
color=color) | |
def plot_value_array(i, predictions_array, true_label): | |
predictions_array, true_label = predictions_array[i], true_label[i] | |
plt.grid(True) | |
plt.xticks([]) | |
plt.yticks([]) | |
thisplot = plt.bar(range(10), predictions_array, color="#666666") | |
plt.ylim([0, 1]) | |
predicted_label = np.argmax(predictions_array) | |
thisplot[predicted_label].set_color('red') | |
thisplot[true_label].set_color('green') |
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