A Short Intuitive Explanation of Convolutional Recurrent Neural Networks

This article was published as a part of the Data Science Blogathon. Today I am going to try my best in explaining in an intuitive way how Convolutional Recurrent Neural Networks (CRNN) work. When I first tried learning about how CRNN work, I found that the information was split between multiple sites and different levels of "depth" was also present, so I will try to explain them in a way that by the end of this article you will know how exactly do they work and why do they perform better in some categories than others. In this article, I will assume you already know a bit about how a simple Neural Network works. In case you need a little revision of the way it works or even if you don't know at all how they work, I recommend you watch the well-made videos explaining the way they work that I linked at the end of the article.