weightnorm | Conv2d layers with weight normalization | Machine Learning library
kandi X-RAY | weightnorm Summary
kandi X-RAY | weightnorm Summary
weightnorm is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. weightnorm has no bugs, it has no vulnerabilities and it has low support. However weightnorm build file is not available. You can download it from GitHub.
Dense and Conv2d layers with weight normalization in TensorFlow.
Dense and Conv2d layers with weight normalization in TensorFlow.
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Quality
Security
License
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Support
weightnorm has a low active ecosystem.
It has 6 star(s) with 1 fork(s). There are no 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 387 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of weightnorm is current.
Quality
weightnorm has no bugs reported.
Security
weightnorm has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
weightnorm 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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weightnorm releases are not available. You will need to build from source code and install.
weightnorm 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 weightnorm and discovered the below as its top functions. This is intended to give you an instant insight into weightnorm implemented functionality, and help decide if they suit your requirements.
- Build the model .
- 2D convolutional layer .
- Initialize Conv2D .
- Convolutional layer .
Get all kandi verified functions for this library.
weightnorm Key Features
No Key Features are available at this moment for weightnorm.
weightnorm Examples and Code Snippets
No Code Snippets are available at this moment for weightnorm.
Community Discussions
Trending Discussions on weightnorm
QUESTION
Wrapper layer to change kernel weights
Asked 2021-Mar-22 at 16:25
I'm trying to write a custom wrapper layer such as the following one (simplified), where I want to modify the kernel weights of the wrapped layer:
...ANSWER
Answered 2021-Mar-22 at 16:25A kernel of a layer is a tf.Variable. To change its value, use the assign method.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install weightnorm
You can download it from GitHub.
You can use weightnorm 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 weightnorm 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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