the_log | Replace console.log with log in your Rails

 by   the-trash Ruby Version: Current License: MIT

kandi X-RAY | the_log Summary

kandi X-RAY | the_log Summary

the_log is a Ruby library typically used in Logging applications. the_log has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Replace console.log with log in your Rails App
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            kandi-support Support

              the_log has a low active ecosystem.
              It has 8 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              the_log has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of the_log is current.

            kandi-Quality Quality

              the_log has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              the_log 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

              the_log 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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            Get all kandi verified functions for this library.

            the_log Key Features

            No Key Features are available at this moment for the_log.

            the_log Examples and Code Snippets

            No Code Snippets are available at this moment for the_log.

            Community Discussions

            QUESTION

            Implementing a trainable generalized Bump function layer in Keras/Tensorflow
            Asked 2020-Apr-19 at 21:26

            I'm trying to code the following variant of the Bump function, applied component-wise:

            ,

            where σ is trainable; but it's not working (errors reported below).

            My attempt:

            Here's what I've coded up so far (if it helps). Suppose I have two functions (for example):

            ...

            ANSWER

            Answered 2020-Apr-19 at 21:26

            Unfortunately, no operation to check whether x is within (-σ, σ) will be differentiable and therefore σ cannot be learnt via any gradient descent method. Specifically, it is not possible to compute the gradients with respect to self.threshold_level because tf.math.less is not differentiable with respect to the condition.

            Regarding the element-wise conditional, you can instead use tf.where to select elements from f_True(input) or f_False(input) according to the component-wise boolean values of the condition. For example:

            Source https://stackoverflow.com/questions/60889308

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

            Vulnerabilities

            No vulnerabilities reported

            Install the_log

            Add this line to your application's Gemfile:.

            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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            CLONE
          • HTTPS

            https://github.com/the-trash/the_log.git

          • CLI

            gh repo clone the-trash/the_log

          • sshUrl

            git@github.com:the-trash/the_log.git

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