Driver of Machine Learning Success: Hardware

We all talk about artificial intelligence nowadays. Even innovations often named including AI or machine learning terms. Have you ever … More

5 Facts about Deep Learning and Neural Networks

Marketing staff are much more successful than engineers for things to be adopted. Even for engineering marvels. People working in … More

A Developer’s Guide to Machine Learning

Machine learning related jobs have a huge demand nowadays. However, there is a significant gap between supply and demand because … More

Artistic Style Transfer with Deep Learning

We have recently watched Van Gogh’s known story in Loving Vincent. 125 artists come together and painted 65.000 Van Gogh style … More

The Insider’s Guide to Adam Optimization Algorithm for Deep Learning

Adam is the super star optimization algorithm of Deep Learning. Optimization algorithms aim to find optimum weights, minimize error and … More

An Overview to Vanishing Gradient Problem

Legacy form of perceptrons cannot handle non-linear problems such as xor logic gate problem. This is because step function is … More

A Step By Step C4.5 Decision Tree Example

Decision trees are still hot topics nowadays in data science world. Here, ID3 is the most common conventional decision tree algorithm … More

Random Initialization in Neural Networks

Neural networks requires to apply several state-of-the-art techniques such as choice of activation function, or network design to push their … More

How Vectorization Saves Life in Neural Networks

Developers tend to handle problems with conditional statements and loops. This is the number one topic of developers and data … More

Convolutional Autoencoder: Clustering Images with Neural Networks

Previously, we’ve applied conventional autoencoder to handwritten digit database (MNIST). That approach was pretty. We can apply same model to … More