Few-Shot Class-Incremental Learning (FSCIL) is a novel problem setting for incremental learning, where a unified classifier is incrementally learned for new classes with very few training samples. In ...
🔬 Neural Simulation Artificial Neurons — Create excitatory, inhibitory, sensory, and motor neurons with customizable properties Synaptic Connections — Forge weighted connections with Hebbian learning ...
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