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This module provides a comprehensive overview of fundamental concepts and techniques related to deep sequence modeling. We explore deep learning for timeseries data, highlighting the inadequacy of DNN and CNN architectures for this task and introducing the recurrent neural network (RNN) and later LSTM as a solution. we do this module in 4 parts ...
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