tweet-generator | Generate Twitter Tweets using Char RNN in Tensorflow

by jxihong Python Version: Current License: No License

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

kandi X-RAY | tweet-generator Summary

tweet-generator is a Python library typically used in Telecommunications, Media, Advertising, Marketing, Tensorflow, Neural Network applications. tweet-generator has no bugs, it has no vulnerabilities and it has low support. However tweet-generator build file is not available. You can download it from GitHub.

Generate Twitter Tweets using Char RNN in Tensorflow

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tweet-generator has a low active ecosystem.

It has 10 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

tweet-generator has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tweet-generator is current.

Quality

tweet-generator has no bugs reported.

Security

tweet-generator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tweet-generator 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

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

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

Train the model
Returns the next batch
Resets the batch pointer
Assign a learning rate to the given session
Run the prediction
Pick probability distribution from probabilities

Get all kandi verified functions for this library.

tweet-generator Key Features

No Key Features are available at this moment for tweet-generator.

tweet-generator Examples and Code Snippets

No Code Snippets are available at this moment for tweet-generator.

Community Discussions

Trending Discussions on tweet-generator

LSTM Text generation Input_shape

QUESTION

LSTM Text generation Input_shape

Asked 2020-Dec-05 at 21:29

I am attempting to add another LSTM layer to my model but I am only a beginner and I am not very good. I am using the (Better) - Donal Trump Tweets! dataset on Kaggle for LSTM text generation.

I am struggling to get it to run as it returns an Error:

...

ANSWER

Answered 2020-Dec-05 at 21:29

In order to stack RNN's you will have to use return_sequences=True. From the error it could be seen that the layer was expecting 3 dimentional tensor, but received a 2 dimentional. Here you can read that that return_sequences=True flag will output a 3 dimentional tensor.

If True the full sequences of successive outputs for each timestep is returned (a 3D tensor of shape (batch_size, timesteps, output_features)).

Assuming, that there are no issues with your input layer and the input data is passed on correctly, I will propose to try the following model.

Source https://stackoverflow.com/questions/65152752

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

Vulnerabilities

No vulnerabilities reported

Install tweet-generator

You can download it from GitHub.
You can use tweet-generator 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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