tensorflow.rb | repository contains a Ruby API for utilizing TensorFlow

 by   somaticio Ruby Version: Current License: BSD-3-Clause

kandi X-RAY | tensorflow.rb Summary

kandi X-RAY | tensorflow.rb Summary

tensorflow.rb is a Ruby library typically used in Tensorflow, Ubuntu applications. tensorflow.rb has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

This repository contains a Ruby API for utilizing TensorFlow. | Linux CPU | Linux GPU PIP | Mac OS CPU | |--------------------|----------------------|------------------| | | Not Configured | Not Configured |.
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              tensorflow.rb has a medium active ecosystem.
              It has 829 star(s) with 66 fork(s). There are 52 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 13 open issues and 24 have been closed. On average issues are closed in 176 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tensorflow.rb is current.

            kandi-Quality Quality

              tensorflow.rb has 0 bugs and 26 code smells.

            kandi-Security Security

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

            kandi-License License

              tensorflow.rb is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              tensorflow.rb releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              tensorflow.rb saves you 587 person hours of effort in developing the same functionality from scratch.
              It has 1370 lines of code, 64 functions and 25 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            tensorflow.rb Key Features

            No Key Features are available at this moment for tensorflow.rb.

            tensorflow.rb Examples and Code Snippets

            No Code Snippets are available at this moment for tensorflow.rb.

            Community Discussions

            Trending Discussions on tensorflow.rb

            QUESTION

            Running a saved model on tensorflow.rb
            Asked 2018-Jun-25 at 22:07

            I built and saved a very simple model in Python using the high-level Estimator API (DNNClassifier). It takes 2 floats and outputs one of two classes. I'm trying to load it in Ruby using the tensorflow.rb gem, and make a prediction with it. This should be very similar to the CAPTCHA example provided by tensorflow.rb.

            I saved it using export_saved_model. Here is the Python code that trained the model. It can correctly predict the classes.

            import numpy as np import pandas as pd import tensorflow as tf

            ...

            ANSWER

            Answered 2018-Jun-25 at 22:07

            It turned out to be a type mismatch. I saved the model to accept float32 variables. tensorflow.rb created input tensors from Ruby's float type, which is float64.

            Changing this:

            Source https://stackoverflow.com/questions/50478312

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

            Vulnerabilities

            No vulnerabilities reported

            Install tensorflow.rb

            I have made a make shift install script in tools directory. You are free to use it, but it still needs some work and there is a chance that you might face some issues with it and if you do face some issues, you can use the instructions below. You are welcome to make improvements to the script.

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            gh repo clone somaticio/tensorflow.rb

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