Build a Deep Facial Recognition App // Part 5 - Training 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 5 you’ll go through how to: 1. Set Up a Loss Function 2. Set Up an Optimizer 3. Build a Custom Training Step 4. Create a Training Loop 5. Train the MODEL Get the code: Links Paper: ~rsalakhu/papers/ Labelled Faces in the Wild: Chapters: 0:00 - Start 0:21 - Explainer 1:15 - Tutorial Kickoff 3:17 - Setup the Loss Function & Optimizer 5:40 - Establish Checkpoint Function 8:52 - Build the Train Step Function 23:22 -