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!
Chapters: 0:00 - Start 0:43 - Setting Up Tensorflow and Keras for Deep Learning 24:35 - Collecting Image Samples and Using the LFW Dataset 1:08:06 - Loading Images into the Tensorflow Dataloader 1:51:25 - Building a Siamese Neural Network 2:38:55 - Building a Custom Training Loop with tf.GradientTape 3:10:00 - Testing the Model on Images 3:40:37 - Integrating with OpenCV 4:18:40 - Building the Kivy App and Integrating with Tensorflow