Build a Deep Facial Recognition App from Paper to Code - Deep Learning Project Tutorial

Embark on a deep learning journey to build a facial recognition application for authentication in this comprehensive tutorial video. Learn to implement the Siamese Neural Networks approach from a research paper into a practical application using TensorFlow. Begin by setting up the development environment, including installing dependencies and configuring GPU usage. Explore the TensorFlow Functional API and create the necessary data structures for your project. Follow along as the instructor guides you through the initial steps of replicating the paper's methodology, preparing you for future integration into a Kivy app. Access the provided GitHub repository for code references and additional resources like the original research paper and dataset. Perfect for developers looking to enhance their skills in deep learning and computer vision applications.

- Start
- Explainer
- Install Dependencies
- Import Dependencies
- Set GPU Growth
- Create Folder Structures