coding_nn_param_init.py

def initialize_parameters(layers_dims):
    np.random.seed(1)               
    parameters = {}
    L = len(layers_dims)            

    for l in range(1, L):           
        parameters["W" + str(l)] = np.random.randn(
            layers_dims[l], layers_dims[l - 1]) * 0.01
        parameters["b" + str(l)] = np.zeros((layers_dims[l], 1))

        assert parameters["W" + str(l)].shape == (
            layers_dims[l], layers_dims[l - 1])
        assert parameters["b" + str(l)].shape == (layers_dims[l], 1)
    
    return parameters