“…Many types of Deep Neural Networks exist, some of which are the 325 Deep Boltzmann Machines (Salakhutdinov & Hinton, 2009), the Restricted Deep Boltzmann machine (Hinton & Sejnowski, 1986), and the Convolutional Deep Belief Network (Lee et al, 2009). These methods have dramatically improved state-of-the-art natural language processing (Mikolov et al, 2013), computer vision (Ciresan et al, 2012), as well as many other applications such as drug 330 discovery and genomics (LeCun et al, 2015), and the analysis carcinoma images (Arevalo et al, 2015a). Convolutional neural networks have been applied for classifying mass lesions following mammography (Arevalo et al, 2015b) …”