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MorvanZhou

PyTorch-Tutorial

Build your neural network easy and fast, 莫烦Python中文教学

TutorialsML/AI fundamentalsJupyter Notebook
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创建于 2017-05-05 · 更新于 2026-10-15 · 今日第 7111 名
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MorvanZhou/PyTorch-Tutorial 排名第 7,111,有 8,475 个星标。

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MorvanZhou/PyTorch-Tutorial 排名第 7,111,此处有 8 个同类条目;aladdinpersson/Machine-Learning-Collection 排名第 7,109。

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关键参数与规格
关键参数与规格
参数值
语言Jupyter Notebook
类别Tutorials
子类别ML/AI fundamentals
星标数8,475
分叉数3,082
贡献者9
创建日期2017-05-05
更新日期2026-10-15
1 天星标数0
7 天星标数1
排名7,111
上次排名18,196
排名变化11,085
7 天星标排名8,979
上次 7 天星标排名9,029
7 天星标排名变化50
总星标排名1,686
上次总星标排名1,686
总星标排名变化0
国家China
README 摘录

If you'd like to use **Tensorflow**, no worries, I made a new **Tensorflow Tutorial** just like PyTorch. Here is the link: pyTorch Tutorials In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years. Thanks for liufuyang's **notebook files** which is a great contribution to this tutorial. pyTorch basic torch and numpy Variable Activation Build your first network Regression Classification An easy way Save and reload Train

on batch Optimizers Advanced neural network CNN RNN-Classification RNN-Regression AutoEncoder DQN Reinforcement Learning A3C Reinforcement Learning GAN (Generative Adversarial Nets) / Conditional GAN Others (WIP) Why torch dynamic Train on GPU Dropout Batch Normalization **For Chinese speakers: All methods mentioned below have their video and text tutorial in Chinese. You can watch my Youtube channel as well. ** Regression Classification CNN RNN Autoencoder GAN (Generative Adversarial Nets) Dropout Batch Normalization Donation *If this does help you, please consider donating to

support me for better tutorials. Any contribution is greatly appreciated!

常见问题

记录了多少星标和分叉?

MorvanZhou/PyTorch-Tutorial 有 8,475 个星标和 3,082 个分叉。

仓库排名是多少?

MorvanZhou/PyTorch-Tutorial 排名第 7,111。

记录的语言和类别是什么?

MorvanZhou/PyTorch-Tutorial 有 8,475 个星标,语言为 Jupyter Notebook,类别为 Tutorials。

哪个仓库排名最接近?

MorvanZhou/PyTorch-Tutorial 与 aladdinpersson/Machine-Learning-Collection 比较,后者排名第 7,109,有 8,492 个星标。

README
[![](logo.png)](http://pytorch.org/)

If you'd like to use Tensorflow, no worries, I made a new Tensorflow Tutorial just like PyTorch. Here is the link: https://github.com/MorvanZhou/Tensorflow-Tutorial

pyTorch Tutorials

In these tutorials for pyTorch, we will build our first Neural Network and try to build some advanced Neural Network architectures developed recent years.

Thanks for liufuyang's notebook files which is a great contribution to this tutorial.

For Chinese speakers: All methods mentioned below have their video and text tutorial in Chinese. Visit 莫烦 Python for more. You can watch my Youtube channel as well.

Regression

Classification

CNN

RNN

Autoencoder

GAN (Generative Adversarial Nets)

Dropout

Batch Normalization

Donation

If this does help you, please consider donating to support me for better tutorials. Any contribution is greatly appreciated!

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