If Exclusive OR (XOR) implementation were a letter A of the alphabet, then handwritten digit classification from MNIST database would … More
Category: Machine Learning
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
Hello, TensorFlow!
I read a book one day and my whole life was changed. That’s the opening sentence of Orhan Pamuk‘s The … More
Becoming the MacGyver of Machine Learning with Neural Networks
You would most probably remember MacGyver if you are a member of generation Y. He is famous for creating materials … More
Homer Simpson Guide to Backpropagation
Backpropagation algorithm is based on complex mathematical calculations. That’s why, it is hard to understand and that is the … More
Step Function as a Neural Network Activation Function
Activation functions are decision making units of neural networks. They calculates net output of a neural node. Herein, heaviside step … More
