NN_Test | This project contains some neural network code | Machine Learning library

by fengbingchun C++ Version: Current License: No License

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kandi X-RAY | NN_Test Summary

NN_Test is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. NN_Test has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This project contains some neural network code

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NN_Test has a low active ecosystem.

It has 258 star(s) with 229 fork(s). There are 20 watchers for this library.

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 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NN_Test is current.

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NN_Test has no bugs reported.

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

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NN_Test does not have a standard license declared.

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Without a license, all rights are reserved, and you cannot use the library in your applications.

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NN_Test Key Features

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NN_Test Examples and Code Snippets

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Community Discussions

Trending Discussions on NN_Test

Softmax function defined in Tensorflow Github repository

How do i get the value of the neural network predicted for a single image?

QUESTION

Softmax function defined in Tensorflow Github repository

Asked 2020-May-02 at 09:08

I am going through the GitHub source code for Softmax activation function. I have a few questions regarding the code.

m = x.max(1)[:, np.newaxis] has been used to find the maximum in the array provided. What is the need for np.newaxis in this expression?
u = np.exp(x - m) has been used but to my knowledge, it should have been u = np.exp(x). What implementational detail am I missing?
z = u.sum(1)[:, np.newaxis]. Similar to earlier this code also uses np.newaxis. What is its use here?

For your better understanding here is the link to the github repo where this function is defined.

...

ANSWER

Answered 2020-May-02 at 09:08

The function under discussion is as follows:

Source https://stackoverflow.com/questions/61554176

QUESTION

How do i get the value of the neural network predicted for a single image?

Asked 2019-Apr-04 at 12:21

I am trying to create a simple python script that will allow you to put in picture of a handwritten digit and the NN model will try to make a guess as to what digit it is so far I have successfully made the model as well as tested it but when it comes to testing a single image i get an output like this.

https://i.imgur.com/0GNMUPR.png

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ANSWER

Answered 2019-Apr-04 at 12:21

It's a bit difficult to tell from the information you give. However, I think it is highly likely that the output you are getting are just the logits, before the softmax output layer.

Feed this output for a softmax layer and then you get a probability distribution over the outputs. In your particular case the softmax output:

Source https://stackoverflow.com/questions/55514651

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