keras-fsl: Fast Model Builder for Production-Ready Few...
summary
A reusable framework built on tf.keras that implements metric-learning pipelines for few-shot problems, providing model implementations, dataset loaders, and training scaffolding. It focuses on shortening experiment-to-deploy cycles by enabling prototypes to be retrained or adapted to new classes without full retraining, with code and notebooks demonstrating end-to-end runs and immediate model adaptation for production deployment.
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chapters (8)
- 0:00Introduction
- 3:08Few-shot learning production issues
- 6:30Deep learning architecture challenges
- 9:50Model complexity solutions
- 13:25Rapid modeling tools
- 16:45Parallel model generation
- 19:41Advanced classification approaches
- 22:55Summary
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