A typical neural network model is given as follows:

import numpy as np

import torch

import torch.nn as nn

import torch.optim as optim

model $=.$Sequential$($

nn$.$Linear $(5,10),$

nn$.$ReLU$(),$

nn$.$Linear $(10,8),$

nn$.$ReLU$0,$

nn$.$Linear$(8,2),$

nn$.$Sigmoid$0$

loss $fn=$ nn$.$MSEL.OSs $0$

optimizer $=$ optim.SGD $($model$.$ parameters$(),$

lr $=0\mathrm{.}001)$

$x=$ torch.tensor $($X$,$ dtype$=$torch.float$32)$

$y=$ torch.tensor$($y$,$ dtype$=$torch.float$32)$

n$\_$epochs $=30$

batch$\_$size $=5$

for epoch in range$($n$\_$epochs$)$:

for $i$ in range$(0,$ len $(x),$ batch size$)$:

Xbatch $=$ X batch$\_$size