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 Oneshot 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: 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