import numpy as np import time from src.neural_network import NeuralNetwork layers = [2, 10, 10, 5] network = NeuralNetwork(layers) print(network.feed_forward([10, 10]))
test_inputs = []
test_outputs = []
accurate_counter = 0.0
total_counter = 0.0
with open('test_files/handwritten_digits/optdigits_test.txt', 'r') as g:
temp_array = np.array([])
for line in g:
array = np.array(list(map(int, line.split(","))))
assert np.array_equal(array, temp_array) is False
actualValue = array[-1]
assert actualValue < 10
array = array[:-1]
output = network.feed_forward(array)
predictedValue = np.argmax(output)
if predictedValue == actualValue:
accurate_counter = accurate_counter + 1
total_counter = total_counter + 1
temp_array = array
probability = accurate_counter / total_counter
print("Your accuracy is ", probability)