howToUse

import numpy as np
import random
import pandas as pd

from dense import Dense
from activations import Tanh
from losses import mse, mse_prime
from network import train
from network import predict

X = np.reshape([[0, 0], [0, 1], [1, 0], [1, 1]], (4, 2, 1))
#X = np.zeros((100, 1, 1))
Y = np.reshape([[0], [1], [1], [0]], (4, 1, 1))

'''
for z in range(100):
    X[z] = z

np.random.shuffle(X)

Y = np.zeros((100, 1, 1))


for y in range(50):
    Y[y] = X[y][0] + X[y][1]


for zz in range(100):
    Y[zz] = 1000 + X[zz] * 2
'''


network = [
    Dense(2, 3),
    Tanh(),
    Dense(3, 1),
    Tanh()
]

train(network, mse, mse_prime, X, Y, epochs=10000, learning_rate=0.01, verbose = True)
test = np.reshape([[0, 0]], (1, 2, 1))
print(predict(network, test[0]))