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Awesome GitHub RepositoriesTwo-Stage Weight Stabilization
A fine-tuning process that freezes early layers to stabilize weights before training the entire network.
Distinct from Supervised Model Weight Optimization: Specifically covers the layer-freezing strategy for stabilization, unlike general supervised weight optimization.
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Awesome Two-Stage Weight Stabilization GitHub Repositories
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- qqwweee/keras-yolo3
qqwweee/keras-yolo3
7,116Ver en GitHubThis project is an object detection framework implementing the YOLOv3 architecture using Keras and TensorFlow. It functions as a deep learning vision model and computer vision toolset designed to locate and classify multiple entities within images and video streams using bounding boxes. The system includes a multi-GPU inference engine to distribute computational loads across several graphics processing units. It also provides a pipeline for creating custom object detectors by retraining pre-trained weights on annotated datasets to recognize user-defined object classes. The framework covers m
Optimizes the model through a two-stage retraining process that stabilizes early layers before full-network fine-tuning.
Python
