Convolutional neural networks (aka CNN and ConvNet) are modified version of traditional neural networks. These networks have wide and deep … More
Category: Machine Learning
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
A Software Engineer’s Guide to Becoming Data Scientist
You might hear that Data Scientist is the sexiest job in 21th century. Moreover, Glassdoor’s recent research reveals that Data … More
Transparency in AI
Until now, authorities describe machine learning algorithms based on the learning style which are supervised or unsupervised. Rob Walker brings … More
