if(validation_size):
validation_accuracy = accuracy.eval(session = sess,feed_dict={x:valiation_images,
y_: validation_labels,
keep_prob: 1.0})
print('validation_accuracy => %.4f'%(validation_accuracy))
plt.plot(x_range, train_accuracies,'-b', label='Training')
plt.plot(x_range, validation_accuracies,'-g', label='Validation')
plt.legend()
plt.ylabel('accuracy')
plt.xlabel('step')
plt.xlim(0,1900)
plt.ylim(0,1.1)
plt.show()
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