


Recurrent Neural Networks. LSTMs
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.



Deep Object Detection
Recently, Convolutional Neural Networks (CNNs) have been used for object/target (e.g., face, person, car, pedestrian, road sign) detection with great results.



Error Analysis in Digital Filters
This lecture overviews Error Analysis in Digital Filters that has many applications in digital signal processing and analysis.



Music Genre Recognition
This lecture overviews Music Genre Recognition that has many applications in the music industry and in the social/broadcasted media. It covers the following topics in detail: Audio Feature Extraction. Music Spectrograms. Sound Texture Selection.



FIR Filter Design
This lecture overviews FIR Filter Design that has many applications in digital signal processing and deep neural networks.



Digital Filter Structures
This lecture overviews Digital Filter Structures that has many applications in digital signal processing.