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The LSTM community is definitely the starting point. What you are definitely interested in is tips on how to use the LSTM to deal with sequence prediction difficulties.
The appliance of MLPs to sequence prediction involves which the input sequence be divided into smaller overlapping subsequences referred to as Home windows which have been revealed to the community as a way to produce a prediction.
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†goes deep on LSTMs and teaches you the way to organize data, the best way to acquire a collection of different LSTM architectures, parameter tuning, updating designs and even more.
†is for programmers and non-programmers alike. It teaches you ways ten major device Studying algorithms do the job, with worked examples in arithmetic, and spreadsheets, not code. The main focus is on an knowing on how Every single design learns and makes predictions.
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