Sigmoid activation layer in Deep Learning Toolbox?
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Hi! Kindly guide why there is no option for defining a Sigmoid / Logistic Nonlinearity like ReLU Nonlinearity in Deep Learning Toolbox? If I have to design a Conv Net with Sigmoid Activations in its various layers, how to define the layer array? Do I need to define Custom Layer? Thanks & regards.
回答 (1 件)
Monika Phadnis
2020 年 3 月 4 日
You can define a custom activation layer in Deep Learning Toolbox following this doc page:
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