


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.



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.



Blockchain Algorithms
This lecture overviews Blockchain technology that has many applications in cryptocurrencies, e-commerce and identity management.



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.



Adaptive Filters
This lecture overviews Adaptive Filters that has many applications in signal processing, automatic control, robotics and autonomous systems.



Deep Semantic Image Segmentation
Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging.