Build a Deep Facial Recognition App // Part 4 - Building a Siamese Neural Network // #Python

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 4 you’ll go through: 1. Creating an Image Embedding Model 2. Building an L1 Distance Layer 3. Combining models to Create a Siamese Neural Network Get the code: Links Paper: ~rsalakhu/papers/ Labelled Faces in the Wild: Chapters: 0:00 - Start 0:30 - Gameplan 1:59 - Tutorial Kickoff 3:07 - Create an Embedding Layer with Tensorflow 2