tensorflow-dog-breed | Transfer learning in tensorflow for Kaggle 's challenge

by milesial Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | tensorflow-dog-breed Summary

tensorflow-dog-breed is a Python library. tensorflow-dog-breed has no bugs, it has no vulnerabilities and it has low support. However tensorflow-dog-breed build file is not available. You can download it from GitHub.

Transfer learning in tensorflow for Kaggle's challenge

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Quality

Security

License

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Support

tensorflow-dog-breed has a low active ecosystem.

It has 0 star(s) with 1 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

tensorflow-dog-breed has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow-dog-breed is current.

Quality

tensorflow-dog-breed has 0 bugs and 0 code smells.

Security

tensorflow-dog-breed has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflow-dog-breed code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorflow-dog-breed 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.

Reuse

tensorflow-dog-breed releases are not available. You will need to build from source code and install.

tensorflow-dog-breed has no build file. You will be need to create the build yourself to build the component from source.

It has 386 lines of code, 18 functions and 6 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tensorflow-dog-breed and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow-dog-breed implemented functionality, and help decide if they suit your requirements.

Calculate nproc distrib .
Get dataset datasets .
Run nproc .
Transform image .
Work out the mean and variance of each image .
Encoder for label encoding .
Parse tf . proto .
Imports the inception graph .
Reads the examples from the file .
Flatten layer .

Get all kandi verified functions for this library.

tensorflow-dog-breed Key Features

No Key Features are available at this moment for tensorflow-dog-breed.

tensorflow-dog-breed Examples and Code Snippets

No Code Snippets are available at this moment for tensorflow-dog-breed.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install tensorflow-dog-breed

You can download it from GitHub.
You can use tensorflow-dog-breed 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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