What is TOPIC-NAME?
Brief description.
Recommended Path for Learning
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What is Activation Function? This Towards Data Science is a great post explaining activation function in neural networks.
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This 8 minute video introduces the various activation functions along with their advantages, disadvantages, and when to apply such functions
Further Learning
Applied papers
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This paper aims to analyze the performance of generalized MLP architectures which has back-propagation algorithm using various different activation functions for the neurons of hidden and output layers. For experimental comparisons, Bi-polar sigmoid, Uni-polar sigmoid, Tanh, Conic Section, and Radial Bases Function (RBF) were used. Performance Analysis of Various Activation Functions in Generalized MLP Architectures of Neural Networks
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ANALYSIS OF DIFFERENT ACTIVATION FUNCTIONS USING BACK PROPAGATION NEURAL NETWORKS This paper aims to analyze and compare different activation functions using backpropagation in a neural network. The purpose is to figure out the optimal activation function for a problem.