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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