kaggle-dogs-vs-cats | 基于Keras实现Kaggle2013 -- Dogs vs. Cats12500张猫狗图像的精准分类

by zhangpengpengpeng Python Version: Current License: No License

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kandi X-RAY | kaggle-dogs-vs-cats Summary

kaggle-dogs-vs-cats is a Python library. kaggle-dogs-vs-cats has no bugs, it has no vulnerabilities and it has low support. However kaggle-dogs-vs-cats build file is not available. You can download it from GitHub.

基于Keras实现Kaggle2013--Dogs vs. Cats12500张猫狗图像的精准分类

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Support

kaggle-dogs-vs-cats has a low active ecosystem.

It has 58 star(s) with 28 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 455 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of kaggle-dogs-vs-cats is current.

Quality

kaggle-dogs-vs-cats has no bugs reported.

Security

kaggle-dogs-vs-cats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

kaggle-dogs-vs-cats does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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kaggle-dogs-vs-cats releases are not available. You will need to build from source code and install.

kaggle-dogs-vs-cats has no build file. You will be need to create the build yourself to build the component from source.

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kaggle-dogs-vs-cats Key Features

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kaggle-dogs-vs-cats Examples and Code Snippets

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Community Discussions

Trending Discussions on kaggle-dogs-vs-cats

Pycharm: Is there a way to run a snippet of code without running the entire file?

QUESTION

Pycharm: Is there a way to run a snippet of code without running the entire file?

Asked 2020-Nov-05 at 19:03

I am teaching myself to code Convolutional Neural Networks. In particular I am looking at the "Dogs vs. Cats" challenge (https://medium.com/@mrgarg.rajat/kaggle-dogs-vs-cats-challenge-complete-step-by-step-guide-part-2-e9ee4967b9). I am using PyCharm.

In PyCharm, is there a way of using the trained model to make a prediction on the test data without having to run the entire file each time (and thus retrain the model each time)? Additionally, is there a way to skip the part of the script that prepares the data for input into the CNN? In a similar manner, does PyCharm store variables- can I print individual variables after the script has been run.

Would it be better if I used a different IDLE?

...

ANSWER

Answered 2020-Nov-05 at 19:03

You can use sklearn joblib to save the trained model as a pickle and use it later for predictions.

Source https://stackoverflow.com/questions/64703663

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install kaggle-dogs-vs-cats

You can download it from GitHub.
You can use kaggle-dogs-vs-cats 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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