Full forward propagation

full_forward_propagation.py

def full_forward_propagation(X, params_values, nn_architecture):
    memory = {}
    A_curr = X
    
    for idx, layer in enumerate(nn_architecture):
        layer_idx = idx + 1
        A_prev = A_curr
        
        activ_function_curr = layer["activation"]
        W_curr = params_values["W" + str(layer_idx)]
        b_curr = params_values["b" + str(layer_idx)]
        A_curr, Z_curr = single_layer_forward_propagation(A_prev, W_curr, b_curr, activ_function_curr)
        
        memory["A" + str(idx)] = A_prev
        memory["Z" + str(layer_idx)] = Z_curr
       
    return A_curr, memory