Pytorch_note

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최종 버전 다운로드 (.zip)

AlexNet.ipynb
ddp_example.py
DenseNet.ipynb
freeze_unfreeze_network.ipynb
InceptionV1.ipynb
LeNet.ipynb
mmdetection_create_model.ipynb
modify_network.ipynb
NiN.ipynb
README.md
ResNet.ipynb
resnet_weights.pth
VGGNet.ipynb
weights_init_copy.ipynb

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# Pytorch_note
framework: pytorch

**分散式訓練**

* ddp_example.py

詳細介紹可以參考我的 Medium:

[Pytorch 基本介紹與教學](https://medium.com/ching-i/pytorch-%E5%9F%BA%E6%9C%AC%E4%BB%8B%E7%B4%B9%E8%88%87%E6%95%99%E5%AD%B8-ac0e1ebfd7ec)

[Anaconda 及 Deep learning framework 安裝教學](https://medium.com/ching-i/anaconda-%E5%8F%8A-deep-learning-framework-%E5%AE%89%E8%A3%9D%E6%95%99%E5%AD%B8-749451823aa2)

[卷積神經網絡 CNN 經典模型 — LeNet、AlexNet、VGG、NiN with Pytorch code](https://medium.com/ching-i/%E5%8D%B7%E7%A9%8D%E7%A5%9E%E7%B6%93%E7%B6%B2%E7%B5%A1-cnn-%E7%B6%93%E5%85%B8%E6%A8%A1%E5%9E%8B-lenet-alexnet-vgg-nin-with-pytorch-code-84462d6cf60c)

[卷積神經網絡 CNN 經典模型 — GoogleLeNet、ResNet、DenseNet with Pytorch code](https://medium.com/ching-i/%E5%8D%B7%E7%A9%8D%E7%A5%9E%E7%B6%93%E7%B6%B2%E7%B5%A1-cnn-%E7%B6%93%E5%85%B8%E6%A8%A1%E5%9E%8B-googlelenet-resnet-densenet-with-pytorch-code-1688015808d9)

[Pytorch 分散式訓練 DistributedDataParallel — 概念篇](https://medium.com/ching-i/pytorch-%E5%88%86%E6%95%A3%E5%BC%8F%E8%A8%93%E7%B7%B4-distributeddataparallel-%E6%A6%82%E5%BF%B5%E7%AF%87-8378e0ead77)

[Pytorch 分散式訓練 DistributedDataParallel — 實作篇](https://medium.com/ching-i/pytorch-%E5%88%86%E6%95%A3%E5%BC%8F%E8%A8%93%E7%B7%B4-distributeddataparallel-%E5%AF%A6%E4%BD%9C%E7%AF%87-35c762cb7e08)

[Pytorch 修改、新增、刪除 pre-trained model layer](https://medium.com/ching-i/pytorch-%E4%BF%AE%E6%94%B9-%E6%96%B0%E5%A2%9E-%E5%88%AA%E9%99%A4-pre-trained-model-layer-d5556654813a)

[Pytorch 凍結與解凍模型參數、layer 設置不同 learning rate](https://medium.com/ching-i/pytorch-%E5%87%8D%E7%B5%90%E8%88%87%E8%A7%A3%E5%87%8D%E6%A8%A1%E5%9E%8B%E5%8F%83%E6%95%B8-layer-%E8%A8%AD%E7%BD%AE%E4%B8%8D%E5%90%8C-learning-rate-8af99d2d4c14)

[Pytorch 模型權重初始化、複製操作](https://medium.com/ching-i/pytorch-%E6%A8%A1%E5%9E%8B%E6%AC%8A%E9%87%8D%E5%88%9D%E5%A7%8B%E5%8C%96-%E8%A4%87%E8%A3%BD%E6%93%8D%E4%BD%9C-194a34fec3ff)

Pytorch_note

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