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We can see from this graph that when the neuron's output is close to $
1$, the curve gets very flat, and so $\sigma'(z)$ gets very small. Equations (55) and (56) then tell us that $\partial C / \partial w$ and $\partial C / \partial b$ get very small. This is the origin of the learning slowdown.
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