Comparison of non-linear activation functions for deep neural networks on MNIST classification task

8 Apr 2018Dabal Pedamonti

Activation functions play a key role in neural networks so it becomes fundamental to understand their advantages and disadvantages in order to achieve better performances. This paper will first introduce common types of non linear activation functions that are alternative to the well known sigmoid function and then evaluate their characteristics... (read more)

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