Transfer Learning vs Incremental Learning for training neural nets

Brainchip, the AI processor specialist, has looked whether transfer learning is more efficient than incremental learning in training neural nets to perform AI/ML tasks.. In transfer learning, applicable knowledge established in a previously trained AI model is “imported” and used as the basis of a new model. After taking this shortcut of using a pretrained ...

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