QuasiRNN-DReLU | Recurrent Neural Networks and the DReLU extension
kandi X-RAY | QuasiRNN-DReLU Summary
kandi X-RAY | QuasiRNN-DReLU Summary
QuasiRNN-DReLU is a Python library typically used in Institutions, Learning, Education applications. QuasiRNN-DReLU has no bugs, it has no vulnerabilities and it has low support. However QuasiRNN-DReLU build file is not available. You can download it from GitHub.
Implementation of Quasi-Recurrent Neural Networks and the DReLU extension
Implementation of Quasi-Recurrent Neural Networks and the DReLU extension
Support
Quality
Security
License
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Support
QuasiRNN-DReLU has a low active ecosystem.
It has 4 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
QuasiRNN-DReLU has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of QuasiRNN-DReLU is current.
Quality
QuasiRNN-DReLU has no bugs reported.
Security
QuasiRNN-DReLU has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
QuasiRNN-DReLU 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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QuasiRNN-DReLU releases are not available. You will need to build from source code and install.
QuasiRNN-DReLU has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed QuasiRNN-DReLU and discovered the below as its top functions. This is intended to give you an instant insight into QuasiRNN-DReLU implemented functionality, and help decide if they suit your requirements.
- Load data from a file
- Load a set of words
- Prepare data
- Load data from file
- Builds the network
- Calculate the accuracy of a network
- Calculates the cross entropy error
- Binary crossentropy
- Makes an embedding matrix
- Get the training data from hutter
- Gradient of the gradients
- Reorder inputs
- Generate the hutter data for the Brainstorm
- Loads the model
- Calculate the perplexity of the hyperparameters
- Calculate a bpc variable
- Creates dense layer
- Calculate the cross entropy error
Get all kandi verified functions for this library.
QuasiRNN-DReLU Key Features
No Key Features are available at this moment for QuasiRNN-DReLU.
QuasiRNN-DReLU Examples and Code Snippets
No Code Snippets are available at this moment for QuasiRNN-DReLU.
Community Discussions
No Community Discussions are available at this moment for QuasiRNN-DReLU.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install QuasiRNN-DReLU
The following software was used:.
Python 2.7.12
Theano 0.9.0
Lasagne 0.2.dev1
Gensim 2.1.0
Nltk 3.2.4
Python 2.7.12
Theano 0.9.0
Lasagne 0.2.dev1
Gensim 2.1.0
Nltk 3.2.4
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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