How to build a basic neural network using PyTorch

Just follow these basic steps while building your neural network.

In this article, I am going to train a simple neural network

how to subtract.

Let’s get started:

# #define the network and the forward function

How do PyTorch’s tensor objects use built-in functionality to calculate gradients?

Differentiation and calculating gradients play a crucial role in updating weights in a neural network. Pytorch takes care of that. Here’s an example.

Now the loss function, in this case, let’s say, the sum of the square values or square loss.

loss = Σ*X²*

gradient = 2*x

Let’s see how it is calculated using PyTorch built-in function. The function used is backward().