NeuralNetworks/NoTorch/BookExamples/SpiralDataExample.py
2026-03-12 12:34:11 -05:00

23 lines
641 B
Python

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