tensorflow-mnist-test | Me testing our tensorflow and mnist in java | Machine Learning library

by kalaspuffar Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tensorflow-mnist-test Summary

tensorflow-mnist-test is a Python library typically used in Travel, Transportation, Logistics, Artificial Intelligence, Machine Learning, Tensorflow applications. tensorflow-mnist-test has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Me testing our tensorflow and mnist in java

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tensorflow-mnist-test has a low active ecosystem.

It has 26 star(s) with 9 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 27 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow-mnist-test is current.

Quality

tensorflow-mnist-test has 0 bugs and 0 code smells.

Security

tensorflow-mnist-test has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tensorflow-mnist-test code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorflow-mnist-test is licensed under the Apache-2.0 License. This license is Permissive.

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

Reuse

tensorflow-mnist-test releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

tensorflow-mnist-test saves you 174 person hours of effort in developing the same functionality from scratch.

It has 430 lines of code, 18 functions and 8 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed tensorflow-mnist-test and discovered the below as its top functions. This is intended to give you an instant insight into tensorflow-mnist-test implemented functionality, and help decide if they suit your requirements.

Create convolutional convolution layer
Max pooling op
Create a weight variable
Create a bias variable
2d convolutional layer

Get all kandi verified functions for this library.

tensorflow-mnist-test Key Features

No Key Features are available at this moment for tensorflow-mnist-test.

tensorflow-mnist-test Examples and Code Snippets

No Code Snippets are available at this moment for tensorflow-mnist-test.

Community Discussions

Trending Discussions on tensorflow-mnist-test

How to pass input data to an existing tensorflow 2.x model in Java?

QUESTION

How to pass input data to an existing tensorflow 2.x model in Java?

Asked 2020-Oct-13 at 17:44

I'm doing my first steps with tensorflow. After having created a simple model for MNIST data in Python, I now want to import this model into Java and use it for classification. However, I don't manage to pass the input data to the model.

Here is the Python code for model creation:

...

ANSWER

Answered 2020-Oct-03 at 18:58

I finally managed to find a solution. To get all the tensor names in the graph, I used the following code:

Source https://stackoverflow.com/questions/64184509

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

Vulnerabilities

No vulnerabilities reported

Install tensorflow-mnist-test

Download visual studio 2017
MSBuild
Visual C++ Build Tools 2015
Visual C++ Build Tools 2017
export BAZEL_VS=c:/Program\ Files\ (x86)/Microsoft\ Visual\ Studio\ 12.0 export BAZEL_VS=c:/Program\ Files\ (x86)/Microsoft\ Visual\ Studio/2017/Community export BAZEL_VS=c:/Program\ Files\ (x86)/Microsoft\ Visual\ Studio/2017/BuildTools.
Copy all files from.

Support

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