# pytorch_deep_learning_examples

**Repository Path**: LHR_97/pytorch_deep_learning_examples

## Basic Information

- **Project Name**: pytorch_deep_learning_examples
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-09-04
- **Last Updated**: 2025-09-04

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<p style="font-size: 20px;"><a href="https://github.com/iioSnail/pytorch_deep_learning_examples">中文</a> | <a href="https://github.com/iioSnail/pytorch_deep_learning_examples/blob/main/README.en.md">English</a></p>

# Python项目实战

在学习深度学习的过程中有许多坎坷，对我来说，最大的困难有两点：

1. 大多的教学都是偏向理论，但如果不结合实践，很难吃透理论。
2. Github上的实战项目都是大而全的，里面包含了许多与理解理论无关的东西，例如并行计算、模型优化等等，而且很多都是py文件，并非jupyter，这样对于我这种菜鸟来说，增加了阅读难度。

针对这两个痛点，我构建了这个项目，致力于使用最简单的代码，来进行深度学习实战，帮助大家理解理论。

# 项目目录

| 系列名称 | 项目名称 | 博客地址 | Google Colab |
|--|--|--|--|
| Pytorch入门实战 | 01. 实现线性回归 | [CSDN](https://blog.csdn.net/zhaohongfei_358/article/details/121418622), [Blogger](https://iiosnail.blogspot.com/2024/10/pytorch1.html) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/01_linear_regression.ipynb) |
|| 02. 使用BP神经网络实现MNIST手写数字识别 | [CSDN](https://blog.csdn.net/zhaohongfei_358/article/details/122800647), [Blogger](https://iiosnail.blogspot.com/2024/10/pytorch2.html) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/02_MNIST_classification.ipynb) |
|| 03. 使用简单CNN实现物体分类 | [CSDN](https://blog.csdn.net/zhaohongfei_358/article/details/125020186), [Blogger](https://iiosnail.blogspot.com/2024/10/pytorch3.html) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/03_cnn_image_classification.ipynb) |
|| 04. 基于LSTM实现文本的情感分析 | [CSDN](https://blog.csdn.net/zhaohongfei_358/article/details/122838743), [Blogger](https://iiosnail.blogspot.com/2024/10/pytorch4.html) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/04_LSTM_sentiment_analysis.ipynb) |
|| 05. 基于nn.Transformer实现机器翻译（英译汉） | [CSDN](https://blog.csdn.net/zhaohongfei_358/article/details/126175328), [Blogger](https://iiosnail.blogspot.com/2024/10/pytorch5.html) | [Open In Colab](https://github.com/iioSnail/chaotic-transformer-tutorials/blob/master/en_to_zh_demo.ipynb) |
|| 06. 基于GAN生成简单的动漫人物头像 | [CSDN](https://blog.csdn.net/zhaohongfei_358/article/details/125675557), [Blogger](https://iiosnail.blogspot.com/2024/10/pytorch6.html) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/06_GAN_image_generation.ipynb) |
|| 07. 基于BERT实现文本隐喻二分类（Kaggle入门题目） | [CSDN](https://blog.csdn.net/zhaohongfei_358/article/details/126426855), [Blogger](https://iiosnail.blogspot.com/2024/10/pytorch7.html) | [Open In Colab](https://github.com/iioSnail/chaotic-transformer-tutorials/blob/master/bert_classification_demo.ipynb) |
|| 08.小样本学习(Few-shot Learning)实现图片分类 | [CSDN](https://blog.csdn.net/zhaohongfei_358/article/details/126453857), [Blogger](https://iiosnail.blogspot.com/2024/10/pytorch8.html) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/08_few_shot_learning.ipynb) |
| Pytorch应用实战 | 01. 基于YOLO的视频人脸马赛克处理 | [CSDN](https://iio-snail.blog.csdn.net/article/details/144245634), [Blogger](https://iiosnail.blogspot.com/2024/12/mosaic.html) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/101_mosaic_video.ipynb) |
|| 02. 基于Wav2Lip的对嘴型（Lip-syncing）视频生成 | [CSDN](https://iio-snail.blog.csdn.net/article/details/146425716) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/102_Wav2Lip_Inference.ipynb) |
| LLM应用实战 | 01. 基于LangChain的Native RAG简单样例 | [CSDN](https://iio-snail.blog.csdn.net/article/details/147148936), [Blogger](https://iiosnail.blogspot.com/2025/04/native-rag.html) | [Open In Colab](https://colab.research.google.com/github/iioSnail/pytorch_deep_learning_examples/blob/main/201_native_rag.ipynb) |