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 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 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: ~rsalakhu/papers/ 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