Build a Deep Iris Detection Model using Python and Tensorflow | Keypoint Detection

Learn how to build an Iris Tracking model using Keypoint Detection with Tensorflow and Python! Get the code here: Links #batch Chapters 0:00 - Intro 0:37 - Explainer 1:31 - PART 1 - Install and Setup 13:23 - PART 2 - Load Data and Labels 14:12 - How the Data was Created 21:49 - Load Images 30:06 - Load Labels 37:25 - Combine Image and Label Samples 43:46 - View Examples 53:17 - PART 3 - Build and Train the Neural Network 53:59 - Create the Keypoint Detection Model 1:13:28 - Setup Loss and Optimizer 1:14:57 - Sense Check Predictions 1:17:23 - Train the Model 1:24:51 - PART 4 - Review Performance and Make Predictions 1:27:24 - View Loss Plots 1:30:57 - Save the Model 1:34:03 - PART 5 - Real Time Detection and Final Results 1:41:49 - Ending Oh, and don’t forget to connect with me! LinkedIn: Facebook: