machinelearning_notebook/references_tips/nn/nn_2.py

 
import numpy as np
from sklearn import datasets, linear_model
import matplotlib.pyplot as plt


class nn:
    epsilon = 0.01
    
    
def generate_data():
    np.random.seed(0)
    X, y = datasets.make_moons(200, noise=0.20)
    return X, y