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 $=$ nn$.$Sequential

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

nn$.$ReLU$(),$

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

nn$.$ReLU$(),$

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

nn$.$Sigmoid$()$

loss $fn=$ nn$.$MSELoss$()$

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 $,$ len $(x),$ batch size$)$:

Xbatch size