pfnet-research/menoh-java
Building a Deep Neural Network (DNN) application in Java
This project helps Java developers integrate existing Deep Neural Network (DNN) models, saved in the ONNX format, directly into their Java applications. It takes an ONNX model file and input data, then produces the model's prediction or inference results. It is ideal for Java developers who need to add AI capabilities to their applications without rebuilding models from scratch.
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Use this if you are a Java developer and need to perform fast, efficient inference using pre-trained ONNX deep learning models within your Java applications.
Not ideal if you need to train deep neural networks or if your application environment is not 64-bit.
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Language
Java
License
MIT
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Last pushed
Oct 17, 2018
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