dl-model | Dragalia Lost Model Viewer | Frontend Framework library

by dgk3593 JavaScript Version: Current License: No License

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

kandi X-RAY | dl-model Summary

dl-model is a JavaScript library typically used in User Interface, Frontend Framework, React Native, React, Three.js applications. dl-model has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This project was bootstrapped with Create React App.

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Quality

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License

Reuse

Support

dl-model has a low active ecosystem.

It has 50 star(s) with 25 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 7 have been closed. On average issues are closed in 16 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dl-model is current.

Quality

dl-model has no bugs reported.

Security

dl-model has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

dl-model 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

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

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dl-model Key Features

No Key Features are available at this moment for dl-model.

dl-model Examples and Code Snippets

No Code Snippets are available at this moment for dl-model.

Community Discussions

Trending Discussions on dl-model

Keras: compute cosine distance between two flattened outputs

QUESTION

Keras: compute cosine distance between two flattened outputs

Asked 2018-Apr-24 at 20:27

EDIT2: my code https://github.com/hcl14/my_simple_LSTM

I have the model of the following structure: Two LSTMs (question and answer) and additional attention layer which can be considered on top of answer. Here is the version which uses sum and softmax to compare two outputs:

...

ANSWER

Answered 2018-Apr-24 at 20:27

You're working with branches. Don't use sequential models with branches.

You can use qenc and aenc as Sequential models, no problem, because they're a single path, no ramifications.

I'm taking examples here from the first part of your code.

Updating the calls that are using keras 1:

Source https://stackoverflow.com/questions/49941903

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

Vulnerabilities

No vulnerabilities reported

Install dl-model

You can download it from GitHub.

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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