11- Object Detection with Tensorflow 2 - Export OD Inference Graph, understand the Training Metrics
In this video, we'll guide you through the process of understanding and interpreting training losses using TensorBoard. Additionally, we'll explore how to export the Object Detection graph, providing you with a holistic view of your model's performance.
Download the Colab Notebooks: https://ayoubb.com/machine-learning/o...
📊 Metric Analysis with TensorBoard: Learn the art of training metric analysis using TensorBoard. We'll focus on losses, dissecting their patterns and fluctuations to gain valuable insights into your model's training journey.
Note: Understanding the impact of data quality, data preparation, and preprocessing techniques is crucial in optimizing your object detection models. These elements are pivotal in ensuring your model performs accurately and reliably in various scenarios.
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