“Pay attention to the official account of the old K play code , reply to "Python introductory book" to get free Python introductory textbook ;
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- After the last recommended "
10个免费python 机器学习项目" got everyone's attention, many friends hope to recommend some deep learning projects~- Old K is responsive here, and has specially organized 7 good deep learning projects~!
- And~
必须是免费!- Look down quickly
1. Introduction to PyTorch Deep Learning Basics
| address | https://www.shiyanlou.com/courses/1348 |
|---|---|
| Number of students | 1.2k |
| Followers | 47 |
“PyTorch is a deep learning framework led by Facebook. It is loved by many large companies and scientific researchers due to its efficient calculation process and good ease of use. In this course, we will learn the basic grammar of PyTorch, understand the automatic derivation mechanism of Autograd, and finally use PyTorch to build an artificial neural network that can be used for image classification tasks.
2. Getting started with TensorBoard deep learning visualization
| address | https://www.shiyanlou.com/courses/1437 |
|---|---|
| Number of students | 197 |
| Followers | 21 |
“TensorBoard is a visualization tool provided by TensorFlow, which is specifically designed for the visualization requirements of the deep learning training process. In this experiment, we will learn about the functional components and basic usage of TensorBoard.
3. Getting started with TensorFlow deep learning basics
| address | https://www.shiyanlou.com/courses/1352 |
|---|---|
| Number of students | 1.9k |
| Followers | 72 |
“TensorFlow 是目前最流行的深度学习框架之一，由美国公司 Google 于 2015 年开源。本课程主要讲解 TensorFlow 的基本用法。着重讲解使用 TensorFlow 搭建神经网络常用的低阶 API 和其集成的 Keras 高阶 API。本课程暂时为 TensorFlow 1.x 版本内容，2.x 版本请搜索相关课程。
4. TensorFlow 实现前向神经网络
| 地址 | https://www.shiyanlou.com/courses/1029 |
|---|---|
| 学习人数 | 2.0k |
| 关注人数 | 218 |
“本次实验通过对神经网络基础的讲解，通过Tensorflow深度学习框架搭建了三个分类模型，可以使用户在学完本章后对前向神经网络有大致的了解。书籍教程配套实验练习，帮助您更好得实战。本课程源自异步社区的《TensorFlow机器学习项目实战》第5章，感谢异步社区授权实验楼发布。
5. TensorFlow 入门教程
| 地址 | https://www.shiyanlou.com/courses/470 |
|---|---|
| 学习人数 | 1.5k |
| 关注人数 | 135 |
“谷歌开源了第二代深度学习系统TensorFlow，本教程为深度学习新手准备，介绍如何搭建TensorFlow实验环境并进行实践学习。
6. TensorFlow 2 实现 AI 换脸
| 地址 | https://www.shiyanlou.com/courses/1460 |
|---|---|
| 学习人数 | 417 |
| 关注人数 | 26 |
“人脸互换是计算机视觉领域比较热门的一个应用，它可以应用于视频合成，提供隐私服务，肖像更换等各个应用。本课程将从自编码器，上采样，数据增强等知识点出发，对深度学习下的人脸互换进行讲解。并且利用 TensorFlow 2 实现川普和道格拉斯·凯奇的人脸互换。训练后的模型可以在不修改原图表情的情况下，完成人脸替换。
7. PyTorch 实现图像风格迁移
| 地址 | https://www.shiyanlou.com/courses/861 |
|---|---|
| 学习人数 | 1.6k |
| 关注人数 | 168 |
“Image style transfer is actually learning the style of some famous paintings using related algorithms, and then applying this style to the pictures we are familiar with. This course will explain the traditional image style transfer algorithm, and use PyTorch to implement it to complete the style transfer of any two pictures.
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