from neuralpy.layers.linear import Dense from neuralpy.layers.activation_functions import ReLU from neuralpy.loss_functions import MSELoss from neuralpy.optimizer import Adam import numpy as np # Creating Model ''' This example will create an ann(Artifical Neural Network) for a 3 input XOR logic ''' model = Sequential() model.add(Dense(n_nodes=1, n_inputs=3)) model.add(ReLU()) model.add(Dense(n_nodes=2)) model.add(ReLU()) model.add(Dense(n_nodes=1)) model.add(ReLU()) # Building the Model model.build() # Compiling model.compile(optimizer=Adam(), loss_function=MSELoss(), metrics=["accuracy"]) print(model.summary()) # Data for XOR