Zero-hidden neural networks that solve non-linear problems through temporal depth, not spatial layers. 90.14% MNIST with 480 parameters. Intelligence is not depth — it's resonance. Time is the ultimate hidden layer. OdyssNet proves it.
machine-learning deep-learning neural-network agi pytorch recurrent-neural-networks mnist chaos-theory chaotic-systems neuromorphic-computing edge-ai temporal-computing skill-transfer parameter-efficiency zero-hidden-layers
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Updated
Sep 9, 2026 - Python