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 One-shot 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: ~rsalakhu/papers/ 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