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Derivatives and the chain rule

From the definition of the input variable to the activation function, that is z_j^l we have

\frac{\partial z_j^l}{\partial w_{ij}^l} = a_i^{l-1},

and

\frac{\partial z_j^l}{\partial a_i^{l-1}} = w_{ji}^l.

With our definition of the activation function we have that (note that this function depends only on z_j^l )

\frac{\partial a_j^l}{\partial z_j^{l}} = a_j^l(1-a_j^l)=\sigma(z_j^l)(1-\sigma(z_j^l)).