How to train your own FaceID ConvNet using TensorFlow Eager execution

In this context, computer vision, applied to faces, has many subareas. These include face detection, recognition, and tracking. Moreover, with the advance of Deep Learning, these solutions are getting more mature for commercial applications. This post shows you, piece-by-piece, how to design and train your own Convolutional Neural Network (CNN) for face identification. Here, we propose a Tensorflow Eager implementation of Siamese DenseNets.