Module pywander.math.nn_model

nerual network modeling work

w : weight matrix x : input X matrix y : outout Y matrix b : the bias matrix

Functions

def build_model(x, y)

def compute_cost(y_hat, y)

def forward_propagation(x, w, b)

def init_model(node_numbers, parameter_numbers, samples)

node_numbers = weight matrix rows = b matrix rows = y matrix rows parameter_numbers = weight matrix columns = x matrix rows samples = x matrix columns = y matrix columns b matrix columns = 1