Python Neural Networks

This is a machine learning library I made from scratch, for educational purpose.

Example

import numpy as np

from net.layers import Dense, Activation
from net.activations import Tanh
from net.losses import MSE
from net.optimizers import SGD
from net.initializers import Xavier
from net.utils import create_model, train, test

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

model = create_model([
    Dense(3, input_shape=(1, 2)),
    Tanh(),
    Dense(1),
    Tanh()
], Xavier(), SGD, {'learning_rate': 0.1})

mse = MSE()
train(model, mse, X, Y, epochs=1000)
print('error on test set:', test(model, mse, X, Y))