In fact, convolutional neural networks popularize softmax so much as an activation function. However, softmax is not a traditional activation function. … More
Category: Machine Learning
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
Handwritten Digit Classification with TensorFlow
If Exclusive OR (XOR) implementation were a letter A of the alphabet, then handwritten digit classification from MNIST database would … More
ReLU as Neural Networks Activation Function
Rectifier linear unit or its more widely known name as ReLU becomes popular for the past several years since its … More
Softplus as a Neural Networks Activation Function
Activation unit calculates the net output of a neural cell in neural networks. Backpropagation algorithm multiplies the derivative of the … More
Classifying Instances with Weka In Java
Weka is pretty cool tool for small sized ML projects. Previously, we’ve already built a regression model with Weka and … More
