Build a Deep Facial Recognition App from Paper to Code, , Part 1, , Deep Learning Project Tutorial

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 1, you ll go through: 1. Install Dependencies around Tensorflow 2. Importing Tensorflow Functional API 3. Setting up to Limit your GPU growth 4. Create Data Folders and Structures Get the code: Links Paper: Labelled Faces in the Wild: Chapters: 0:00 Start 0:25 Explainer 2:09 Install Dependencies 3:51 Import Dependencies 13:20 Set GPU Growth 16:54 Create Folder Structures Oh, and do