Previously, we’ve reviewed sigmoid function as activation function for neural networks. Logarithm of sigmoid states it modified version. Unlike to … More
Category: Machine Learning
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
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
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
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
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
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 … More
Evolution of Neural Networks
Today, AI lives its golden age whereas neural networks make a great contribution to it. Neural networks change our lifes … More
Art for AI’s Sake
Vanity is definetely human beings’ favorite sin. People would believe that they do lots of things good, as well as … More
Common Concerns of Machine Learning Professionals
Machine learning is one of the hot topics in 2017. Besides, most authorities expected that machine learning would be part of … More
