Training a feedforward neural network

This recipe walks you through the process of building a feedforward neural network using PyTorch.

Getting ready

Feedforward neural networks, also known as multilayer perceptrons (MLPs), are one of the simplest types of artificial neural networks. The data flows from the input layer to the output layer, passing through hidden layers without any loop. In this type of neural network, all hidden units in one layer are connected to the units of the following layer.

How to do it…

Let’s create a simple feedforward neural network using PyTorch. First, we need to import the necessary PyTorch modules:

import torch
import torch.nn as nn

Now, we can define a simple feedforward neural network with one hidden layer:

class Net(nn.Module):
    def __init__(self):
        super(Net, self).__init__()
        self.fc1 = nn.Linear(10...