Machine learning researchers would like to share outcomes. They might spend a lot of time to construct a neural networks…
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…
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…
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…
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…
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.…
Developers vs Mathematicians
Fermat’s last theorem has been waiting almost 350 years to be proven. Now, we can call it theorem but until 90s…
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…
A Gentle Introduction to Convolutional Neural Networks
Convolutional neural networks (aka CNN and ConvNet) are modified version of traditional neural networks. These networks have wide and deep…
New Generation Cryptocurrency
The British newspaper announced that a man who bought 27$ of bitcoin in 2009 would recall this investment in 2013…
