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PyTorch-Tutorial
MorvanZhou/PyTorch-Tutorial
Build your neural network easy and fast, 莫烦Python中文教学
★8.5kstars
Jupyter Notebook
MIT
Updated: Today
📋 Project at a Glance
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What's this?A autoencoder/batch tool in the Learning & Resources category, built with Jupyter Notebook, open-source
Who made it?Maintained by MorvanZhou team, 8.5K⭐ on GitHub, #295 out of 3640 in Learning & Resources
Why does it exist?As the Learning & Resources landscape evolved, the MorvanZhou team identified the need for better autoencoder solutions. PyTorch-Tutorial was created to simplify batch workflows.
What can it do?Key use cases: batch-normalization, classification, cnn
How to install with AI?Use an AI coding assistant to follow the README and automatically handle the install and environment setup.
🔗 github.com/MorvanZhou/PyTorch-Tutorial | 官网 https://mofanpy.com/tutorials/machine-learning/torch/
🔗 github.com/MorvanZhou/PyTorch-Tutorial | 官网 https://mofanpy.com/tutorials/machine-learning/torch/
Topics
autoencoderbatchbatch-normalizationclassificationcnndqndropoutgangenerative-adversarial-networkmachine-learningneural-networkpythonpytorchpytorch-tutorialpytorch-tutorialsregressionreinforcement-learningrnntutorial