Binary cross entropy with deep learning technique for Image classification

This paper discussed about a unique neural network approach stimulated by a technique that has reformed the field of computer vision: pixel-wise image classification, which we combine with binary cross entropy loss and pre training of the CNN (Convolutional Neural Network) as an auto encoder.The pixel-wise classification technique directly estimates the image source label for each timefrequency (T-F) bin in our image, thus eliminating common pre-and-post processing tasks.The proposed convolutional neural network is trained by using the binary mask as the target output label.The binary mask identifies the dominant image source in each T-F bin of the magnitude spectrogram of a mixture signal, by considering each…