为什么需要非线性? 想象一下,如果网络里每一层都是线性的(比如 y=Wx+b),无论堆叠多少层,最终网络都只是一条线性映射。深度堆叠就没有意义了,网络的表达能力非常有限。
Knowing this, we can modify the N-Convex algorithm covered earlier such that the candidate weights are given by the barycentric coordinates of the input pixel after being projected onto a triangle whose vertices are given by three surrounding colours, abandoning the IDW method altogether1. This results in a fast and exact minimisation of , with the final dither being closer in quality to that of Knoll’s Algorithm.
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