Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: In this study, we have presented a deep learning-based implementation for speech emotion recognition (SER). The system combines a deep convolutional neural network (DCNN) and a bidirectional ...
Here are what people are saying about the book: Somewhere around 2004 - 05 when I was convinced I wasn’t smart enough to be a programmer , I came came across the original A Byte of #Python, and that ...
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