tf-gen | Generative adversarial tensorflow models | Machine Learning library

by Hello1024 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tf-gen Summary

tf-gen is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow, Generative adversarial networks applications. tf-gen has no bugs, it has no vulnerabilities and it has low support. However tf-gen build file is not available. You can download it from GitHub.

Generative adversarial tensorflow models.

Support

Quality

Security

License

Reuse

Support

tf-gen has a low active ecosystem.

It has 6 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

tf-gen has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tf-gen is current.

Quality

tf-gen has no bugs reported.

Security

tf-gen has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tf-gen 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

tf-gen releases are not available. You will need to build from source code and install.

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

Doublesh
Reshapes inp
Compute double tensor
Superres layer
Convolution layer
Resolution layer
Go to a PNG file
DoubleLP

Get all kandi verified functions for this library.

tf-gen Key Features

No Key Features are available at this moment for tf-gen.

tf-gen Examples and Code Snippets

No Code Snippets are available at this moment for tf-gen.

Community Discussions

Trending Discussions on tf-gen

Converting Keras model to multi label output

QUESTION

Converting Keras model to multi label output

Asked 2019-Aug-27 at 10:06

I have a model which takes in a dataframe which looks like this

...

ANSWER

Answered 2019-Aug-27 at 09:35

You are trying to train a model with 8 different outputs (length 1 for every output) but your target values is an array of length 8.

The easiest fix is to replace:

Source https://stackoverflow.com/questions/57661516

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

Vulnerabilities

No vulnerabilities reported

Install tf-gen

You can download it from GitHub.
You can use tf-gen 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: