Deep Learning zoo is getting bigger by the day. This is probably due to the fact that we are "crossing the chasm" with this technology and that we are entering "early majority" phase. Simply put, people find more and more ways…
First of all, let me start this article by stating that GrowIT conference in Novi Sad was awesome. It is the exact thing that was missing in our local IT Community, and it seems that the organizers of the conference ticked…
In one of the previous articles, we started our journey into the world of Autoencoders. We saw that they are one special kind of neural networks, that was able to utilize techniques of supervised learning for unsupervised learning. One might…
Ten years ago not many of us had been fortunate to own a smartphone. Nowadays that number has drastically improved, and it is increasing every single day. The number of daily registered Android and iOS devices is crazy. Take a…
All neural networks architectures lay on the same principles. There are neurons with biases and activation functions connected with weighted connections. However, different problems require the different mix of those neurons and connections. That is how we ended up with…
Not many people know, but apart from doing all techy stuff, I sometimes make music. I even have few EP releases and one album. They are terrible, but hey, it is something to pass the time. Anyhow, after getting deeper…
So far in our artificial neural network journey, we have explored typical statistical models. In general, the entire point of statistical modeling and machine learning is to detect dependencies and connections between input variables. Standard Neural networks are exceptional at…
The code that accompanies this article can be downloaded here. In the previous articles, we explored what Self-Organizing Maps are and how you can implement them using Python and TensorFlow. One of the most interesting things about these networks is that…
In the previous articles, we explored possibilities of ML.NET, Microsoft's machine learning framework, quite a bit. In the first article of the series, we got familiar with machine learning concepts and run through some ML.NET basics. Then we solved some…
The code that accompanies this article can be downloaded here. In the previous articles, we explored how we can use Microsoft's new framework for machine learning - ML.NET. We used different datasets for different purposes and explored how to solve…
