[In-depth understanding of pytorch] Use PyTorch to build a neural network model: define structure, select activation function and loss function

Introduction: PyTorch is a popular deep learning framework that provides flexible and powerful tools to build neural network models. This article will introduce how to use PyTorch to define the network structure, select the activation function and loss function, and help you start building your own deep learning model.

1 Introduction

The construction of deep learning models is inseparable from a powerful and flexible framework. PyTorch is a popular deep learning framework that provides a wealth of tools and functions that make building neural network models easy and intuitive. This article will introduce how to use PyTorch to build a neural network model, including defining the network structure, selecting activation functions and loss functions.

2. Define the network structure

In PyTorch, nn.Modulethe network structure can be defined by creating a class that inherits from This class typically contains the various layers and operations of the network. Here is a simple example:

import torch
import torch