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
