tensorflow-java | Tensorflow Java examples | Machine Learning library

by loretoparisi Java Version: Current License: MIT

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

kandi X-RAY | tensorflow-java Summary

tensorflow-java is a Java library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. tensorflow-java has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However tensorflow-java build file is not available. You can download it from GitHub.

Tensorflow Java examples

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tensorflow-java has a low active ecosystem.

It has 59 star(s) with 32 fork(s). There are 5 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 71 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorflow-java is current.

Quality

tensorflow-java has 0 bugs and 0 code smells.

Security

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

tensorflow-java code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tensorflow-java is licensed under the MIT License. This license is Permissive.

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

Reuse

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

tensorflow-java has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

It has 186 lines of code, 22 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Demonstrates how to convert an image to a model
Prints the usage
Constructs a graph to compute the normalized image
Executes an exception graph
Returns the index of the max index
Read all bytes and exit
Reads all lines and exits
Prints TensorFlow example

Get all kandi verified functions for this library.

tensorflow-java Key Features

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

tensorflow-java Examples and Code Snippets

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

Community Discussions

Trending Discussions on tensorflow-java

TensorFlow serving in java - multiple predictions in one session run

QUESTION

TensorFlow serving in java - multiple predictions in one session run

Asked 2019-Mar-20 at 06:57

i have a saved model which i manage to load ,run and get prediction for 1 row of 9 features. (input) now i'm trying to predict 100 rows like that , but when trying to read the results from Tensor.copyTo() to a result array i'm getting incompatible shapes

...

ANSWER

Answered 2019-Mar-17 at 19:24

OK , so i found the problem i wasn't able to run once for all the rows(predictions) i wanted. probably a tensorflow newbie issue that i messed up with input and output matrix. when the report tool (python) say that you have a input Tensor with shape (-1,9) which map to java long[]{1,9} it does not mean you cannot pass input as long[]{1000,9} - this means 1000 rows for predictions. after this input the output tensor which is defined as [1,1] can be [1000,1].

This code actually runs much faster than python(1.2 seconds vs 7 seconds) here is the code (maybe will explain better)

Source https://stackoverflow.com/questions/55110428

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

Vulnerabilities

No vulnerabilities reported

Install tensorflow-java

You need to run the jni.sh to install the right Java bindings for your platform and the download.sh script that will download the inception5 model in order to be ready to run a simple examples:.

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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