What exact kind of architecture of neural networks do I need for a sequence binary/multiclass classification? The sequences can be of different length and are to be discriminated by a certain occurrence of smaller subsequences in it.
It would be great if you can provide Lasagne/Keras layers setup and their parameters.
Thanks.
Best Answer
I recommend to use a combination of CNN layers and a RNN layer (e.g. long short-term layer LSTM or gated recurrent units).
It depends on your sequence classification problem, I tried to solve a typical application (e.g. in bioinformatics) and failed.
Then I used this network architecture - which I found by very experienced data scientist - and suddenly it worked very well.