Random Initialization, Deep Learning.
You can set w1 = np.random.randn. This generates a gaussian random variable (2,2). And then usually, you multiply this by very small number, such as 0.01. So you initialize it to very small random values. And then b, it turns out that b does not have the symmetry problem, what’s called the symmetry