Insert Image

Insert Code

import numpy as np

def sigmoid(x):
    return 1 / (1 + np.exp(-x))

def sigmoid_derivative(x):
    return x * (1 - x)

Insert Math Formula

\(\begin{aligned} \frac{\partial L}{\partial \theta} &= \frac{1}{N} \sum_{i=1}^{N} \frac{\partial L}{\partial \hat{y}} \frac{\partial \hat{y}}{\partial \theta} \end{aligned}\)