masterDissertation | kbowledge based on Auxiliary Classifer and Auto Convolution Encoder

by OUCliuxiang Python Version: Current License: MIT

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kandi X-RAY | masterDissertation Summary

masterDissertation is a Python library. masterDissertation has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However masterDissertation build file is not available. You can download it from GitHub.

0 号卡没有显存时需要使用CUDA_VISIBLE_DEVICES 指定显卡，否则这sb pytorch 就认定了在0卡走一遍莫名其妙的显存，避不开。. 目前除了 baseline ，其他所有程序 net/dataset 只能用缺省 All 参数，批量训练，因为指定网络和数据集的逻辑还没来得及写. 参数传入的学习率是 sgd 优化器用的，一般用缺省的0.01就行，因为有写了衰减策略。adam 优化器传入固定的 3e-4. 参数传入的 epoch 是最大 epoch，因为训练有提前终止策略。. 指标： 1, weight size + compression ratio 2, weight size after Han + compression ratio 3, params + compression ratio 4, FLOPs + compression ratio 5, (top1 & top5) acc 6, (epochs & time consumption) to converge. 作图： 1, loss & acc 2, acc with T or alpha 3, feature heat map 4, confusion matrix 5, cate cluster.

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masterDissertation has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

masterDissertation has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of masterDissertation is current.

Quality

masterDissertation has no bugs reported.

Security

masterDissertation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

masterDissertation is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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masterDissertation releases are not available. You will need to build from source code and install.

masterDissertation has no build file. You will be need to create the build yourself to build the component from source.

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masterDissertation Key Features

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masterDissertation Examples and Code Snippets

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Install masterDissertation

You can download it from GitHub.
You can use masterDissertation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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