Generative Adversarial Network (GAN) Series

Generative Adversarial Network (GAN) Series

The Deep Learning universe grows every day. The whole field is somewhat in the phase of “crossing the chasm” and entering “pragmatists” phase. Simply put, people use deep learning models for practical problems and with that, they come up with different architectures...
Ultimate Guide to Machine Learning with ML.NET

Ultimate Guide to Machine Learning with ML.NET

Check out new guide with ML 1.0 here. Code that accompanies this article can be downloaded here. Several months ago I wrote a series of articles about ML.NET. Back then ML.NET was at its infancy and I used 0.3 version to solve some real-world problems. One of my...
Implementing CycleGAN Using Python

Implementing CycleGAN Using Python

There are many variations of Generative Adversarial Networks. GAN Zoo actually became so big that just scrolling through all papers that are utilizing this concept can cause pain in your finger. All jokes aside GANs main concepts changed the world of deep learning....
Introduction to CycleGAN

Introduction to CycleGAN

Generative Adversarial Networks (GAN) has changed the way we observe deep learning field. Up until that point, generative algorithms were a one-side ally, and the engineers were focused more on regression and classification tasks. Different approaches and applications...