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PyTorch-Tutorial
Jupyter Notebook

PyTorch-Tutorial

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

by MorvanZhou · GitHub
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autoencoderbatchbatch-normalizationMITJupyter Notebook
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In plain words

Follow step-by-step tutorials to build and train neural networks using PyTorch, including advanced architectures.

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8 4598 456
2026-07-042026-08-31
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📄 About

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

PyTorch-Tutorial has 8.5k stars on GitHub. It has been forked 3.1k times. PyTorch-Tutorial is written mainly in Jupyter Notebook. It has been in active development since 2017. PyTorch-Tutorial is available under the MIT license. Its main topics are autoencoder, batch, batch-normalization, classification.

Frequently asked questions

What is PyTorch-Tutorial?

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

Is PyTorch-Tutorial open source?

PyTorch-Tutorial is an open-source project. It is released under the MIT license.

Is PyTorch-Tutorial free?

Yes. PyTorch-Tutorial is free and open source — you can use, modify and self-host it.

What license does PyTorch-Tutorial use?

PyTorch-Tutorial is available under the MIT license.

What language is PyTorch-Tutorial written in?

PyTorch-Tutorial is written mainly in Jupyter Notebook.

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