The code that accompanies this article can be downloaded here. Open-source library TensorFlow.js was introduced about a year ago. However, I didn't manage to try it out up until now. In this article, we are going to get to know how…
In the previous article, we had a chance to explore some of the main concepts behind Test Driven Development and use them in Python. This approach of development utilizes unit tests as its driving force. Over the years, it has…
Bugs! Every application has it and no matter how careful you are you will create one sooner or later. Especially if you are working on a large enterprise software. Now, I know a bunch of people will have "My code…
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…
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 examples…
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…
People are yet not done figuring out machine learning, and now there is a rise of a new advanced term on the market for machine learning, and, i.e. “Automated Machine Learning.” Let’s discuss automated machine learning. Thankfully, automated machine learning…
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 were used…
The roles and positions of the Team Lead and the Project Manager in the Software Industry can seem similar, if not outright the same. This is particularly true for an aspiring software developer who has recently been promoted to a…
When they were first presented back in 2014., Generative Adversarial Networks (GAN) took the world of Deep Learning by storm. Their two folded architecture opened up the path to many creative solutions and combinations. Even Yann LeCun concluded that this is “the most interesting idea in the last 10 years in Machine Learning”. Since then, GAN zoo grew a lot. New architectures that harvest this adversarial premise are created on a regular basis. One of those solutions is Adversarial Autoencoders (AAE).
