Neural Network.py

# Neural Network to predict double of number
# Instead of getting input from user you can initialize list of multiples input

# Getting input from user
print("Neural Network to predict double of number")
# This will take input from user as string
# and split by space ' ' then convert elements into integer and save elements into list li
li = list(map(int, input("Enter no. separated by space: ").split(" ")))


# Split li into training_data and testing_data
def split_data(li):
    length = len(li)
    part = int(abs(length/2))
    training_data = li[:part]
    testing_data = li[part:]

    return training_data, testing_data

training_data, testing_data = split_data(li)


# Correct ans
def correct_ans(i):
    corr_ans = i*2
    return corr_ans


# Neural Network for training
def train_neural_network(ip):
    weight = 5
    for j in range(1000):
        print("##Training## :: ", "Epoch=", j, ", for input=", ip)
        pred_ans = ip * weight
        cost = corr_ans - pred_ans
        weight = weight + 0.1*cost
    return pred_ans, weight

def accuracyfun(a, b):
    return (a/b)*100


def append_all_weight(weight):
    weight_list = []
    weight_list.append(weight)
    lenght_of_weight_list = len(weight_list)
    avg = (sum(weight_list))/lenght_of_weight_list
    return avg


# Train
for i in training_data:
    corr_ans = correct_ans(i)
    pred_ans, weight = train_neural_network(i)
    accr = accuracyfun(corr_ans, pred_ans)
    print("Accuracy after training data =", i, "is =", accr)

    avg = append_all_weight(weight)

    file = open("Average Weight.txt", "w")
    avg = str(avg)
    file.write(avg)
    file.close()


# Testing answers with training data using weight generated by neural network
def test_answers(ip):
    file = open("Average Weight.txt", "r")
    weight = file.read()
    file.close()
    weight = float(weight)
    test_ans = ip * weight
    return test_ans

# Using Testing Data to check accuracy
for i in testing_data:
    corr_ans = correct_ans(i)
    test_ans = test_answers(i)
    accr = accuracyfun(corr_ans, test_ans)
    print("##Testing## :: ", "For input=", i, "| Correct Ans=", corr_ans, "| Predicted Ans=", test_ans, "| Accuracy=", accr)

print("Final Avg Weight: ", weight)