Build a Deep Facial Recognition App - Building a Siamese Neural Network - Python

Learn how to build a deep facial recognition application for authentication in this 48-minute video tutorial. Explore the process of creating a Siamese Neural Network using Python and TensorFlow, based on the paper "Siamese Neural Networks for One-shot Image Recognition." Focus on key steps including creating an Image Embedding Model, building an L1 Distance Layer, and combining models to create a Siamese Neural Network. Follow along with provided code and resources, including access to the Labelled Faces in the Wild dataset. Gain practical insights into implementing facial recognition and verification in applications through hands-on coding and explanations of deep learning concepts.

- Start
- Gameplan
- Tutorial Kickoff
- Create an Embedding Layer with Tensorflow
- Build a custom L1 Distance Keras Layer
- Use the Keras Functional API to make a Siamese Model