Cool thanks, will try it out. This is just a side project i was trying. I just wanted to practically explore more about time series and how to pass multiple of them to a rnn model. My current objective is what I have written in the post's description. The " detecting ad" one was just a feature i thought of at that time of writing the reply. "If in future I wanted to extend the application how do I proceed with it" that's what the motive was behind asking that to you. Either way thanks, and sorry if I came out as "arguing".
Agreed, i thought of this too. But say, i want to scale up and detect an ad in video based on intrest drop then it will be difficult to achieve that through local minima right? Interest at a particular second might drop due to boring content right? What if I want model to detect intrest drop only when ad occurs?
Normally there'll be a max drop in intrest during an ad for sure. But we can't use global minima technique here because normally people skip off end parts of video so that might actually be the biggest drop and we don't want that.
C0R0NA_CHAN OP t1_j3caf7o wrote
Reply to comment by marr75 in [D] Which ML model should I use to analyse and detect dip in time series sequence? by C0R0NA_CHAN
Cool thanks, will try it out. This is just a side project i was trying. I just wanted to practically explore more about time series and how to pass multiple of them to a rnn model. My current objective is what I have written in the post's description. The " detecting ad" one was just a feature i thought of at that time of writing the reply. "If in future I wanted to extend the application how do I proceed with it" that's what the motive was behind asking that to you. Either way thanks, and sorry if I came out as "arguing".