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Entries by Albin Grataloup

Transfer Learning: Making use of what is already there

As the number of AI models grows, it becomes clear that many new applications share similarities with existing ones. Transfer learning and domain adaptation harness this overlap by repurposing previously trained models. This approach accelerates training, reduces data requirements, and improves model performance, making it a valuable tool. The traditional approach to deep learning involves […]