5 Awesome New Features – Python 3.8
It has been interesting couple of moths in Python community. Beta version of Python 3.8 was around since summer and everyone was waiting when the official version is going to be released. At various PyCon conferences people shared their excitement about new changes....
Transformer with Python and TensorFlow 2.0 – Encoder & Decoder
In one of the previous articles, we kicked off the Transformer architecture. Transformer is a huge system with many different parts. They are relying on the same principles like Recurrent Neural Networks and LSTMs, but are trying to overcome their shortcomings....
Transformer with Python and TensorFlow 2.0 – Attention Layers
In the previous article, we got a chance to get familiar with the architecture of Transformer. Not just that, but we explored all architectures that came before it and what problems did they have, like Recurrent Neural Networks and Long Short Term Memory Networks. We...
Deep Convolutional Q-Learning with Python and TensorFlow 2.0
So far in our journey through the world of reinforcement learning we covered several topics. First we kicked it off with introduction to reinforcement learning and we saw how this paradigm functions. Then we learned the simplest from of it – Q-Learning. Finally,...
