image_classify | tensorflow实现卷积神经网络并训练自定义数据集

by JiaoPaner Python Version: Current License: Apache-2.0

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

kandi X-RAY | image_classify Summary

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

tensorflow实现卷积神经网络并训练自定义数据集

Support

Quality

Security

License

Reuse

Support

image_classify has a low active ecosystem.

It has 12 star(s) with 7 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 808 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of image_classify is current.

Quality

image_classify has no bugs reported.

Security

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

License

image_classify is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

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

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

Top functions reviewed by kandi - BETA

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

Train the model
Reads the training data from Tensorboard
Inner function
Summarize activations
Adds summaries to the loss summaries
Read example from tfrecord_path
Evaluate the model
Evaluate once
Read a tfrecord file
Runs prediction
Generate input tensors
Reads all the images in the root directory
Read an image file
Reads examples from tfrecord_path
Read configuration file
Reads a train image

Get all kandi verified functions for this library.

image_classify Key Features

No Key Features are available at this moment for image_classify.

image_classify Examples and Code Snippets

No Code Snippets are available at this moment for image_classify.

Community Discussions

No Community Discussions are available at this moment for image_classify.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install image_classify

You can download it from GitHub.
You can use image_classify 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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