文件名称：resnet.torch：fb.resnet.torch的更新版本，但有很多更改
文件大小：288KB
文件格式：ZIP
更新时间：2024-02-24 11:50:29
lua deep-learning torch resnet LuaJupyterNotebook
resnet.torch：fb.resnet.torch的更新版本，但有很多更改
【文件预览】：
resnet.torch-master
----.gitignore(58B)
----README.md(3KB)
----utils()
--------metrics.lua(808B)
--------NormalizedLinearNoBias.lua(1013B)
--------drawnet.lua(3KB)
--------NoBackprop.lua(1KB)
--------convert2cpu.lua(600B)
----INSTALL.md(3KB)
----dataloader.lua(3KB)
----ClassifyImage.ipynb(8KB)
----datasets()
--------transforms.lua(7KB)
--------generic-gen.lua(5KB)
--------imagenet.lua(4KB)
--------generic.lua(4KB)
--------balanced.lua(3KB)
--------transforms_custom.lua(7KB)
--------balanced-gen.lua(4KB)
--------.ipynb_checkpoints()
--------textfile-gen.lua(460B)
--------init.lua(996B)
--------TestImageTransform.ipynb(136KB)
--------imagenet-gen.lua(5KB)
----plotting.lua(1KB)
----checkpoints.lua(2KB)
----PATENTS(2KB)
----nnlr()
----.ipynb_checkpoints()
--------ClassifyImage-checkpoint.ipynb(2KB)
----CONTRIBUTING.md(935B)
----models()
--------preresnet.lua(7KB)
--------dropresnet.lua(5KB)
--------simplenet.lua(2KB)
--------resnet.lua(4KB)
--------googlenetbn.lua(5KB)
--------tinydarknet.lua(2KB)
--------synset.txt(31KB)
--------init.lua(7KB)
--------simplenetver2.lua(2KB)
--------resnetdropout.lua(5KB)
--------resnettree.lua(5KB)
----train_scripts()
--------train_model.sh(375B)
----opts.lua(6KB)
----main.lua(3KB)
----pretrained()
--------README.md(4KB)
--------imagenet.lua(25KB)
--------CONVERGENCE.md(711B)
--------classify.lua(2KB)
--------extract-features.lua(4KB)
----utils.lua(589B)
----train.lua(9KB)
----PredictWithPretrainedModel.lua(1KB)