Build a Deep Face Detection Model With Python and Tensorflow - Full Course

- START
- Explainer
- PART 1 - COLLECt IMAGES & ANNOTATE
- Breakdown Board
- Setting up and Getting Data
- PART 2 - PARTITION & AUGMENT DATA
- Review dataset and build Image Loading Function
- Partition Unaugmented Data
- Apply Image Augmentation on Images and Labels
- Build and Run Augmentation Pipeline
- Prepare Labels
- Combine Label and Image Samples
- PART 3 - BUILD & TRAIN THE DEEP LEARNING MODEL
- Build a Deep Learning Model using the Functional API
- Defining a Custom Loss Function & Optimizer
- Train a Neural Network
- PART 4 - TEST AND PERFORM REAL TIME DETECTIONS
- Final Results
- Ending