Classifier DL Approach in sparknlp

[Rishab-Vanigotha]

in official documentation of classifierdlapproach it says internally it uses deep learning models (DNNS) but which type of neural network it uses is not mentioned. whether it is GRU or LSTM or bidirectional LSTM or something else?

[maziyarpanahi]

You are mistaken the DNNs with RNNs. The DNNs are just dense layers, unlike RNNs (LSTM/GRU), there are no different DNNs.

• ClassifierDL and SentimentDL annotators are just end-to-end DNNs. For instance : https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/ClassifierDLApproach.html
• The MultiClassifierDL (for multi-label) has a more sophisticated architecture with BiGRUs + CNNs. For instance: https://nlp.johnsnowlabs.com/api/com/johnsnowlabs/nlp/annotators/classifier/dl/MultiClassifierDLApproach.html

[Rishab-Vanigotha]

Got it Thank you, another doubt was how many layers does it use? It is not mentioned.