js-training | Get good at JavaScript | Runtime Evironment library

 by   nan-academy JavaScript Version: Current License: MIT

kandi X-RAY | js-training Summary

kandi X-RAY | js-training Summary

js-training is a JavaScript library typically used in Server, Runtime Evironment, Nodejs applications. js-training has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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              js-training has a low active ecosystem.
              It has 26 star(s) with 494 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 132 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of js-training is current.

            kandi-Quality Quality

              js-training has 0 bugs and 0 code smells.

            kandi-Security Security

              js-training has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              js-training code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              js-training is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              js-training releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            js-training Key Features

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            js-training Examples and Code Snippets

            No Code Snippets are available at this moment for js-training.

            Community Discussions

            QUESTION

            what's up with tensorflow.js MNIST example nextbatch implementation?
            Asked 2020-Nov-19 at 13:09

            While taking inspiration from the tensorflow.js Handwritten digit recognition with CNNs tutorial, I stumbled upon the following implementation of the nextBatch function in mnist_data.js:

            ...

            ANSWER

            Answered 2020-Nov-19 at 13:09

            The issue is related to the shape of the label.

            Source https://stackoverflow.com/questions/64837466

            QUESTION

            Testing Formik form with enzyme and jest
            Asked 2020-Oct-11 at 16:28

            I have form component(this is simplified example. In reality I have much more fields):

            ...

            ANSWER

            Answered 2020-Oct-11 at 16:28

            Formik itself has many asynchronous method and hook inside it, therefore in your test you also need to write in an asynchronous way. Speaking of testing hook in general, i recommend you use react-testing-library together with enzyme and jest. You can have a glance here: https://testing-library.com/docs/react-testing-library/intro

            For more detail on how to use it specifically with Formik. I recommend you read this article, quite a good explanation. ( Or can google 'test formik with react-testing library')

            Briefly, you need to cover it in a wait method of the library. Something like this:

            Source https://stackoverflow.com/questions/64304898

            QUESTION

            What does argMax do with an array as axis?
            Asked 2020-May-13 at 16:57

            In the tutorial for tensorflowjs, for recognizing handwritten numbers, the code uses:

            ...

            ANSWER

            Answered 2020-May-13 at 16:57

            The ts typing of axis indicates that it is a number, thus the complain of tslint. Looking at the source code, the axis is later pushed into an array with the following

            Source https://stackoverflow.com/questions/61776343

            QUESTION

            "Making Predictions from 2D Data" code lab gives random results on each refresh
            Asked 2020-May-02 at 15:54

            I've been following this code lab but the result I get when testing the trained model looks way wrong, the code lab shows this chart

            but when I run the code below, taken directly from the code lab my chart looks like this..

            if I refresh again I get

            and once more

            Why do the results vary so much in each page refresh?

            I have tried delaying the testing but with no better results

            ...

            ANSWER

            Answered 2020-May-02 at 15:54

            The prediction values differs at each refresh because at each refresh there is a new training. The model weights are initialized with random values. During the training, the weights can either converge to optimum values or diverge. It depends on many parameters. Actually even the best model will not always converge at a fixed number of training epochs.

            To always have the same value, the initial values of the weights can be set with fixed data. But again how to find this data that will lead to a best prediction ? That's not always easy to find those weights. A simple way to initialize a layer weights would be to use the kernelInitializer of the layer.

            Source https://stackoverflow.com/questions/61552946

            QUESTION

            Problem during prediction on tensorflow js prediction
            Asked 2020-Jan-08 at 13:06

            I have a problem on my tensorflow js model, I followed a course (link to the course) where I learned to create a tensorflow model and everything worked fine but the course doesn't show how to use the model so I developped myself this part but every time I try to predict a number I got the same result (2), I don't know why and I don't have the knowledge to fix that so I hope someone could help me fix that and provide an explenation.

            The guest part of the code is here :

            ...

            ANSWER

            Answered 2020-Jan-08 at 13:03

            The image should be predicted only when it has completed to load

            Source https://stackoverflow.com/questions/59613946

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

            Vulnerabilities

            No vulnerabilities reported

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