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Classroom Contents
Build a Deep Face Detection Model With Python and Tensorflow - Full Course
Automatically move to the next video in the Classroom when playback concludes
- 1 - START
- 2 - Explainer
- 3 - PART 1 - COLLECt IMAGES & ANNOTATE
- 4 - Breakdown Board
- 5 - Setting up and Getting Data
- 6 - PART 2 - PARTITION & AUGMENT DATA
- 7 - Review dataset and build Image Loading Function
- 8 - Partition Unaugmented Data
- 9 - Apply Image Augmentation on Images and Labels
- 10 - Build and Run Augmentation Pipeline
- 11 - Prepare Labels
- 12 - Combine Label and Image Samples
- 13 - PART 3 - BUILD & TRAIN THE DEEP LEARNING MODEL
- 14 - Build a Deep Learning Model using the Functional API
- 15 - Defining a Custom Loss Function & Optimizer
- 16 - Train a Neural Network
- 17 - PART 4 - TEST AND PERFORM REAL TIME DETECTIONS
- 18 - Final Results
- 19 - Ending
