1. Course Overview: 1. Course Overview 00:00:00 2. Preparing Data for Model Training: 1. Building a Foundation 00:01:33 2. Building up Your Dataset 00:06:43 3. Demo - Bringing It into Practice 00:11:58 4. Finalizing Your Dataset 00:19:40 3. Training: 1. Detector Models Frameworks and Libraries 00:20:08 2. DataFormats and Computing 00:27:38 3. General Object Detection Script Setup 00:31:49 4. Training a Model - Scripted and PaaS 00:35:50 5. Evaluating a Detector 00:46:30 4. Deployment: 1. Deployment and MLOps 00:48:41 2. Drift Retaining and Model Store 00:58:44 3. Inferencing 01:11:10 4. Summary 01:12:13
Hide player controls
Hide resume playing