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If it is possible, will it be really useful or the model will end up converging very early(with a typical optimum learning rate) ? Any content on this topic will be helpful for me.

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  • $\begingroup$ For those not familiar with it, could you explain what "spark" is? $\endgroup$ – Oliver Mason Feb 26 at 9:08
  • $\begingroup$ Apache Spark is open source, general-purpose distributed computing engine used for processing and analyzing a large amount of data. Just like Hadoop MapReduce, it also works with the system to distribute data across the cluster and process the data in parallel. $\endgroup$ – Sharath Feb 29 at 3:50
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Yes, it is possible to use deep learning architecture with Apache Spark now. Databricks have Spark-deep-learning which is a pipeline based in python and uses tensorflow and keras.

https://github.com/databricks/spark-deep-learning

You can check this. There is also BigDL by Intel analytics. https://github.com/intel-analytics/BigDL

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