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Comparative Study of Convolution Neural Network’s Relu and Leaky-Relu Activation Functions

A. Dubey, Vanita Jain

2019Lecture Notes in Electrical Engineering

DOI: 10.1007/978-981-13-6772-4_76

Resumen de tlooto

This paper has used rectified linear unit (Relu) and Leaky-Relu activation for inner CNN layer and softmax activation function for output layer to analyze its effect on MNIST dataset.

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Formato de cita

DUBEY, A.; JAIN, Vanita. Comparative study of convolution neural network’s relu and leaky-relu activation functions. Lecture Notes in Electrical Engineering, 2019.