Build a Deep Facial Recognition App, , Part 3 Preparing Data for Deep Learning, , TF Dataloader

Ever wanted to implement facial recognition or verification into your application In this series you ll learn how to build a deep facial recognition application to authenticate into an application. You ll start off by building a model using Deep Learning with Tensorflow which replicates what is shown in the paper titled Siamese Neural Networks for Oneshot Image Recognition. Once that s all trained you ll be able to integrate it into a Kivy app and actually authenticate In Part 3 you ll go through: 1. Scaling and Resizing Images as part of a Deep Learning pipeline 2. Loading and labelling images using the Tensorflow Dataloader 3. Splitting data pipelines into training and testing partitions Get the code: Links Paper: Labelled Faces in the Wild: Chapters: 0:00 Start 3:19 Loading Image paths into 10:19 Loading, Scaling and Resizing Images in a pipeline 16:5