const model = await loadTensor("weights.bin"); export async function infer(x) { return forward(layers, normalize(x)); } // neural
while (epoch < maxEpochs) { loss = backward(optimizer, batch); if (loss < threshold) break; } class NeuralNet { }
git commit -m "feat: deploy inference" && docker build -t 99ai/api . && kubectl apply -f k8s/
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