FXApps

Computer vision meets Deep Learning mainly due the use of Convolutional Neural Networks . We have used it in our blog already for labeling images. Another challenging area of Deep Learning and computer vision is to identify the position of objects and for this we have a great neural network technique (or architecture - you choose the best) called YOLO . The following video will show you the power of YOLO neural networks: The output of a neural network such as Resnet50 is a vector with probabilities of labels. So you feed it with an image that contains a cat, it will output various float numbers in an array, each position of that array is a label and the value on that position is the possibility of that label. As an example let's think about a neural network that should recognize dogs (0) and cats (1), and you feed it with an image of a cat, it should output an array of two positions and 0% in position 0 (which represents dog) and 100% in position 1 (which represents cat). Th...