tensorjs | Deep learning for the Web | Machine Learning library

by Hoff97 TypeScript Version: Current License: MIT

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kandi X-RAY | tensorjs Summary

tensorjs is a TypeScript library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Tensorflow, Numpy applications. tensorjs has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is a JS/TS library for accelerated tensor computation intended to be run in the browser. It contains an implementation for numpy-style multidimensional arrays and their operators. It also allows executing Onnx models. For examples check the examples folder.

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tensorjs has a low active ecosystem.

It has 29 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 11 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorjs is current.

Quality

tensorjs has no bugs reported.

Security

tensorjs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tensorjs is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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tensorjs releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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tensorjs Key Features

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tensorjs Examples and Code Snippets

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Community Discussions

Trending Discussions on tensorjs

When keras model is loaded into tensorjs, it becomes completely inaccurate

QUESTION

When keras model is loaded into tensorjs, it becomes completely inaccurate

Asked 2020-May-13 at 15:20

I am trying to build an image recognition web app for a keras model that i found on kaggle. I'm a complete beginner to this stuff. This is my first time working on a ML project. The model works fairly well in keras/tensorflow (forgive me if my terminologies are inaccurate), but when i load the model into my webapp via tensorjs and make predictions, its hilariously inaccurate, even with training data. I dont know exactly what's going on, but I have a hunch that it involves how my image is being processed in the web app. I just dont know exactly what i have to change.

This is my processImage code

...

ANSWER

Answered 2020-May-13 at 15:20

The preprocessing applied is different in js and python.

in python

Source https://stackoverflow.com/questions/61777637

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