hi, all of us know that HTM is
- REAL-TIME
- Continuous learning: the model should learn online as the data comes
- Unsupervised: no one is going to label the data. NEVER.
- Not CPU “greedy”
- No hyper-parameter tuning or other human intervention
- Noise robustness
but I want to know if HTM is more faster that LSTM in training and prediction ?and in precision of detection anomaly .
If there is any paper or anything