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Sefik Ilkin Serengil

Code wins arguments

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Tag: derivative

A Gentle Introduction to Zero to the Power of Zero

Any number to the power of zero is 1. Meanwhile, zero to the power of any number is 0. Combination … More

calculus, derivative, limit, taylor

Mish As Neural Networks Activation Function

Recently, Mish activation function is announced in deep learning world. Researchers report that it overperforms than both regular ReLU and Swish. The … More

activation, activation function, backpropagation, derivative, keras, mish, neural networks, python, softplus, tanh

Logarithm of Sigmoid As a Neural Networks Activation Function

Previously, we’ve reviewed sigmoid function as activation function for neural networks. Logarithm of sigmoid states it modified version. Unlike to … More

activation function, derivative, neural networks

Softsign as a Neural Networks Activation Function

Activation functions play pivotal role in neural networks. As an alternative to hyperbolic tangent, softsign is an activation function for … More

activation function, derivative, neural networks

Softmax as a Neural Networks Activation Function

In fact, convolutional neural networks popularize softmax so much as an activation function. However, softmax is not a traditional activation function. … More

activation function, derivative, neural networks


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