In one of the previous articles, we kicked off the Transformer architecture. Because they are massive systems we decided to split implementation into several articles and implement it part by part. In this one, we cover Encoder and Decoder.
In this and next couple of articles we will be able to see how one can implement one of these monumental architectures.
Now, if there is something that data scientists like to do, is merge concepts and create new beautiful and unexpected models. That is why in this article, we will find out what happens when we give the learning agent ability to "see", i.e. what happens when we involve convolutional neural networks into Deep Q-Learning framework.
In the previous two articles we started exploring the interesting universe of reinforcement learning. First we went through the basics of third paradigm within machine learning - reinforcement learning. Just to freshen up our memory, we saw that approach of…
The crucial part of any machine learning, deep learning application and artificial intelligence application is data. You might have heard the term "garbage in - garbage out" that is often used by the more experienced data scientist. In this article, we are going to explore ways to find "garbage" in your data.
This is a guest post by Kateryna Boiko. Bitcoin is one of the pioneer cryptocurrency in the world. It has changed the financial landscape across the globe. A huge majority of the people dealing in trade and financing are showing…
Code that accompanies this article can be downloaded here. Last November TensorFlow celebrated its third birthday. Over the years it became one of the most loved ML frameworks and gathered a massive amount of followers. Google has done a great…
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…
MongoDB has quickly become the foremost NoSQL database on the market, having been adopted by companies of all sizes for the various benefits it offers toward building modern applications. In this interactive course, you'll get to see for yourself why there's so much hype around MongoDB, and learn all about how to use it.
