testNetwork.py

import install_requirements

import keras
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt

# FOR TESTING

mnist = tf.keras.datasets.mnist
(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_test = tf.keras.utils.normalize(x_test, axis=1)
for test in range(len(x_test)):
    for row in range(28):
        for x in range(28):
            if x_test[test][row][x] != 0:
                x_test[test][row][x] = 1


model = tf.keras.models.load_model('m.model')
print(len(x_test))
predictions = model.predict(x_test[:10])

count = 0
for x in range(len(predictions)):
    guess = (np.argmax(predictions[x]))
    actual = y_test[x]
    print("I predict this number is a:", guess)
    print("Number Actually Is a:", actual)
    if guess != actual:
        #print("--------------")
        #print('WRONG')
        #print('---------------')
        count+=1
    plt.imshow(x_test[x], cmap=plt.cm.binary)
    plt.show()

print("The program got", count, 'wrong, out of', len(x_test))
print(str(100 - ((count/len(x_test))*100)) + '% correct')