Face Recognition with Keras: Detect & Classify

Learners will identify the principles of convolutional neural networks, analyze image data, apply preprocessing techniques, generate facial embeddings, and evaluate recognition models for real-world deployment. This hands-on course takes participants through the entire journey of building an advanced face recognition application with Keras. Starting with the foundations of CNNs and image preprocessing, learners will discover how to configure their systems, detect faces using MTCNN, and highlight features with bounding boxes and keypoints. The course then transitions into organizing datasets, …