Chapter 5 Deep Learning

Deep Learning (DL) is considered to be a branch of machine learning algorithms which are based on artificial neural networks. DL algorithms also can be categorized into supervised, semi-supervised, or unsupervised learning [1, 51, 52]. DL consists of a wide variety of structures, including, but not limited to, deep neural networks, recurrent neural networks, and convolutional neural networks, which have been utilized in different applications such as computer vision [53], speech recognition [54], fingerprint-based localization [59], filtering of social network contents [55], bioinformatics [56], analyses of medical images [57], and game applications [58]. The DL algorithms in real-world applications result in great performance ...

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