Maybe a MLP will not be a good suggestion for my project. I've to think about my NN configuration I only have just one concealed layer.
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That could be a ton of recent binary variables. Your resulting dataset are going to be sparse (many zeros). Attribute assortment prior may be a good idea, also test just after.
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Really should I do Element Collection on my validation dataset also? Or just do aspect selection on my training established by itself and after that do the validation utilizing the validation set?
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There are a selection of RNNs, but it's the LSTM that provides around the assure of RNNs for sequence prediction. great site It is why There exists so much buzz and application of LSTMs for the time being.
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