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Ioannis Pitas (AUTH)
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This lecture overviews Recurrent Neural Networks and Long Short-Term Memory (LSTM) networks that have many applications in signal and video analysis. It covers the following topics in detail: Neural Networks for Sequence Analysis. Recurrent Neural Networks and their relation to State space filters. RNN forward propagation. Activation functions. Loss functions and RNN training through Back-Propagation. Long Short-Term Memory. LSTM forward propagation. Gated Recurrent Unit. GRU forward propagation. It also overviews the following applications: Image Captioning, Object tracking, and Image denoising.
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