Build a Deep Face Detection Model with Python and Tensorflow | Full Course
Learn how to build a face detection model using an Object Detection architecture using Tensorflow and Python!
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Chapters
0:00 - START
0:38 - Explainer
1:38 - PART 1 - COLLECt IMAGES & ANNOTATE
2:22 - Breakdown Board
8:51 - Setting up and Getting Data
32:47 - PART 2 - PARTITION & AUGMENT DATA
34: 11 - Review dataset and build Image Loading Function
45:32 - Partition Unaugmented Data
53:08 - Apply Image Augmentation on Images and Labels
1:07:10 - Build and Run Augmentation Pipeline
1:15:10 - Prepare Labels
1:19:04 - Combine Label and Image Samples
1:24:57 - PART 3 - BUILD & TRAIN THE DEEP LEARNING MODEL
1:26:09 - Build a Deep Learning Model using the Functional API
1:41:20 - Defining a Custom Loss Function & Optimizer
1:45:51 - Train a Neural Network
2:03:25 - PART
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