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Sefik Ilkin Serengil

Code wins arguments

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Category: Machine Learning

ELU as a Neural Networks Activation Function

Recently a new activation function named Exponential Linear Unit or its widely known name ELU was introduced. Researchs reveal that … More

activation function

Facial Expression Recognition with Keras

Kaggle announced facial expression recognition challenge in 2013. Researchers are expected to create models to detect 7 different emotions from human … More

cnn, kaggle, keras, neural networks, tensorflow

A Gentle Introduction to Cross-Entropy Loss Function

Neural networks produce multiple outputs in multi-class classification problems. However, they do not have ability to produce exact outputs, they … More

activation function, error function, loss function

Transfer Learning in Keras Using Inception V3

Machine learning researchers would like to share outcomes. They might spend a lot of time to construct a neural networks … More

inception, keras, transfer learning

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

A Step by Step ID3 Decision Tree Example

Decision tree algorithms transfom raw data to rule based decision making trees. Herein, ID3 is one of the most common … More

decision tree, id3, random forest

How Random Forests Can Keep You From Decision Tree

Life cycle of a tree begins with a seed. Then seed grows and becomes a young plant. Young plant is … More

decision tree, random forest

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

Handwritten Digit Recognition Using CNN with Keras

Image recognition studies have reached incredible accuracy levels for the past several years. It is undeniable fact that deep learning has defeated … More

cnn, convnet, convolutional neural networks, deep learning, keras, mnist, tensorflow

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