from nnfs.datasets import spiral_data
import numpy as np
import nnfs
import matplotlib.pyplot as plt

#sets random seed to zero, float 32 dtype default, overrides original dot product from numpy
nnfs.init()

class Layer_Dense:

    #layer initialization
    def __init__(self, n_inputs, n_neurons):
        #random initialization of weights and biases
        self.weights = 0.01 * np.random.randn(n_inputs, n_neurons)
        self.biases = np.zeros((1, n_neurons))


    #forward pass
    def forward(self, inputs):
        #calculate outputs from inputs weights and biases
        self.output = np.dot(inputs, self.weights) + self.biases