《PyTorch深度学习快速入门教程》学习笔记（第17周）

摘要

Abstract

[1. Transforms用途](#1. Transforms用途)

[2. Transforms该如何使用](#2. Transforms该如何使用)

[2.1 transforms.Totensor使用](#2.1 transforms.Totensor使用)

[2.2 需要Tensor数据类型原因](#2.2 需要Tensor数据类型原因)

[3. 常见的Transforms工具](#3. 常见的Transforms工具)

[3.1 __call__魔术方法使用](#3.1 __call__魔术方法使用)

[3.2 Normanize归一化](#3.2 Normanize归一化)

[3.3 Resize裁剪](#3.3 Resize裁剪)

[3.3.1 Resize裁剪方法一](#3.3.1 Resize裁剪方法一)

[3.3.2 Resize裁剪方法二](#3.3.2 Resize裁剪方法二)

[3.4 RandomCrop随机裁剪](#3.4 RandomCrop随机裁剪)

[3.4.1 RandomCrop随机裁剪方式一](#3.4.1 RandomCrop随机裁剪方式一)

[3.4.2 RandomCrop随机裁剪方式二](#3.4.2 RandomCrop随机裁剪方式二)

摘要

本周报的目的在于汇报《PyTorch深度学习快速入门教程》课程第三周的学习成果，主要聚焦于Transforms的使用以及其相关内容。

在这本周的学习中，课程内容主要涵盖了Transforms使用，包括常见的Transfroms工具，Resize裁剪和RandomCrop随机裁剪等等。

本篇文章将对学习内容进行详细的阐述，并在最后部分对本周的学习内容进行总结。本周报旨在通过这种方式，将理论知识与实践应用有效地结合起来，为深度学习的基础内容学习与方向提供概括性总结。

Abstract

The purpose of this weekly report is to present the learning outcomes of the third week of the PyTorch Deep Learning Quick Start Tutorial course, with a focus on the use of Transformers and its related content.

In this week's learning, the course content mainly covers the use of Transformers, including common Transfors tools, Resize cropping, RandomCrop, and so on.

This article will provide a detailed explanation of the learning content and summarize the learning content for this week in the final section. This weekly report aims to effectively combine theoretical knowledge with practical applications in this way, providing a summary of the basic content and direction of deep learning learning learning.