import torch

this is the title

torch.rand(3,3)

 0.6722  0.4777  0.8250
 0.7353  0.7902  0.5744
 0.7334  0.1035  0.6565
[torch.FloatTensor of size 3x3]

import matplotlib.pyplot as plt
%matplotlib inline

import numpy as np

x = np.linspace(-5,5,1000)

sigmoid = lambda x:  np.exp(x) / ( 1 + np.exp(x))
tanh = lambda x: 2*sigmoid(2*x) - 1


plt.plot(x,sigmoid(x),label='sigmoid')
plt.plot(x,tanh(x),label="tanh")
plt.plot(x,tanh(x) * sigmoid(x),label="s * t")
plt.legend();

png