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I am currently looking into LSTMs. I found this nice blog post, which is already very helpful, but still, there are things I don't understand, mostly because of the collapsed layers.

- The input $X_t$, and the output of the previous time step $H_{t-1}$, how do they get combined? Multiplied, added or what?
- The input weights and the weights of the input of the previous time step, those are just the weights of the connections between the time-steps/units, right?

All i would like to say head over to this video https://www.youtube.com/watch?v=IEbBIpP4c9E&index=10&list=PLZnyIsit9AM7yeTZuBmezKNc6hFHUPImh by Andrew Ng you will understand everything

– DuttaA – 2018-09-02T16:28:21.300