deeplearning4j and deeplearning4j-examples
These are ecosystem siblings where the examples repository provides practical implementation guidance and use case demonstrations for the core deep learning framework.
About deeplearning4j
deeplearning4j/deeplearning4j
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
This suite of tools helps developers build and deploy deep learning applications using the Java Virtual Machine (JVM). It allows you to take raw data, preprocess it, and then build or import various deep learning models for deployment. It's designed for software engineers and data scientists working within a JVM ecosystem who need to integrate AI capabilities into their applications.
About deeplearning4j-examples
deeplearning4j/deeplearning4j-examples
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
This collection provides practical recipes for building, training, and deploying deep learning models using the Deeplearning4J ecosystem. It shows you how to take raw data, transform it, construct neural networks, and even import models from other frameworks like Keras or TensorFlow. Scientists, data analysts, and software engineers working with Java who need to integrate deep learning into their applications would find these examples useful.
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