The Application of Logistic Regression in Frequency Domain Classification Based on Deep Learning

The paper bases on the theory of deep learning, uses the Scikit-learn machine learning framework and logistic regression algorithm, combines with supervised machine learning. Through Fourier transform, the time-domain signal is transformed into the frequency domain for research. For different types of music, the regression discrete values of logical values are determined, and finally testing result of recognition accuracy of over 90%.