Hi
What would be the best way to use Spark and neutral networks (especially RNN LSTM) ? I think it would be possible by "tool"-combination: Pyspark + anaconda + pandas + numpy + keras + tensorflow + scikit But what about scalability and usability by Spark (pyspark) ? How compatible are data structures (for example dataframe) between Spark and other "tools" ? And it is possible convert them between different "tools" ? --- Eras
