Sun Tzu was a legendary military strategists in ancient china and he is the author of the famous book, The Art of War . He was a master of "soft power" and the father of " agile warfare." Whenever possible, he preferred to win without fighting or, at the very least, to the win the easiest battles first. He wrote, "In war, the victorious strategist only seeks battles after the victory has been won." He advised his troops to "make your way by unexpected routes and attack unguarded spots." And he further stated, " military tactics are like water. For water, in its natural course, run away from high places and hastens downwards. so, in war, the way is to avoid what is strong and strike at what is weak." the teachings of Sun Tzu extend far beyond the field of battle because they are focused on finding the easiest way to achieve the specific goal. His approaches can be applied to everything from business growth and goal sitting to
Abstract Explosive performance and memory space growth in computing machines, along with resent specialization of deep learning models have radically boosted the role of images in semantic pattern recognition. In the same way a textual post on social media reveals individuals characteristics of its author, facial images may manifest same personality traits. This work is milestone in our attempt to infer personality traits from facial images. With this ultimate goal in mind, here we explore a new level of image understanding, inferring criminal tendency from facial image via deep learning. In particular, two deep learning models, included a standard feedforward neural network (SNN) and a convolution neural network (CNN) are applied to discriminant criminal and non-criminal facial images.Confusion matrix and training and test accuracies are reported for both models, using tenfold cross-validation on a set of 10,000 facial images. The CNN was more consistent then the SNN in learning t