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Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey | SpringerLink
![Konduit on Twitter: "Deeplearning4j on Spark: Introduction Spark should be used when you have a cluster of multi-GPU machines for training and a large enough network to justify a distributed implementation. https://t.co/Sc1pldyWW0 # Konduit on Twitter: "Deeplearning4j on Spark: Introduction Spark should be used when you have a cluster of multi-GPU machines for training and a large enough network to justify a distributed implementation. https://t.co/Sc1pldyWW0 #](https://pbs.twimg.com/media/Ek17CVZVkAEE1ae.jpg)
Konduit on Twitter: "Deeplearning4j on Spark: Introduction Spark should be used when you have a cluster of multi-GPU machines for training and a large enough network to justify a distributed implementation. https://t.co/Sc1pldyWW0 #
GitHub - eclipse/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
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