kandi X-RAY | TFWork Summary
kandi X-RAY | TFWork Summary
TFWork is a Python library. TFWork has no bugs, it has no vulnerabilities and it has low support. However TFWork build file is not available. You can download it from GitHub.
TFWork
TFWork
Support
Quality
Security
License
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Support
TFWork has a low active ecosystem.
It has 1 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
TFWork has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TFWork is current.
Quality
TFWork has 0 bugs and 0 code smells.
Security
TFWork has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
TFWork code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
TFWork 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
TFWork releases are not available. You will need to build from source code and install.
TFWork 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 TFWork and discovered the below as its top functions. This is intended to give you an instant insight into TFWork implemented functionality, and help decide if they suit your requirements.
- Train the network .
- Train a model .
- Unset convolutional dataset .
- Creates a graph of the model graph .
- Unset the convolutional .
- Test the model .
- Double convolutional layer .
- Multi - layer RNN layer .
- Creates a bidirectional RNN layer .
- Adds a layer to the network .
Get all kandi verified functions for this library.
TFWork Key Features
No Key Features are available at this moment for TFWork.
TFWork Examples and Code Snippets
No Code Snippets are available at this moment for TFWork.
Community Discussions
No Community Discussions are available at this moment for TFWork.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TFWork
You can download it from GitHub.
You can use TFWork 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.
You can use TFWork 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 .
Find more information at:
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