Content:
– Deep learning for sequential data;
– Training recurrent neural networks using BPTT;
– Recurrent architectures: LSTM, GRU;
– Sequential attention;
– Transformer, Perceiver, Perceiver IO;
– The basics of how to work with time series;
– Applications;
– ...
