


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.



Neural Speech Recognition
This lecture overviews Neural Speech Recognition is a special case of Automatic Speech Recognition (ASR), i.e., the transcription of speech to text that has many applications e.g., in call centers, dictation, meeting minutes creation, Smart assist



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



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



Spectral Signal Analysis
This lecture overviews Spectral Signal Analysis that has many applications in periodicity estimation and acoustic/speech/music/biomedical signa analysis.



Blockchain Technology and Applications
This lecture overviews Blockchain Technology that has many applications in Cryptocurrencies, Identity Management and Biometrics.