What are the different applications of RNN and LSTM?

Ans: Applications of Recurrent Neural Networks include:

Robot control

Time series prediction

Speech recognition

Speech synthesis]

Time series anomaly detection

Rhythm learning

Music composition

Grammar learning

Handwriting recognition

Human action recognition

Protein Homology Detection

Predicting subcellular localization of proteins

Several prediction tasks in the area of business process management

Prediction in medical care pathways

Applications of LSTM include:

Robot control

Time series prediction

Speech recognition

Rhythm learning

Music composition

Grammar learning

Handwriting recognition

Human action recognition

Sign Language Translation

Protein Homology Detection

Predicting subcellular localization of proteins

Time series anomaly detection

Several prediction tasks in the area of business process management

Prediction in medical care pathways

Semantic parsing

Object Co-segmentation