https://towardsdatascience.com/history-of-convolutional-blocks-in-simple-code-96a7ddceac0c

I try my best to read ML and AI related papers on a regular basis. It’s the only way to stay up-to-date with recent advancements. As a computer scientist I often hit a wall when going over the scientific description texts or the mathematical notation of formulas. I find it so much easier to understand it in plain code. So in this article, I want to guide you through a curated list of important convolutional blocks from recent architectures implemented in Keras.

When you look for implementations of popular architectures on GitHub you will be surprised by how much code they contain. It’s good practice to include a sufficient amount of comments and enhance the model using additional parameters but at the same time this can distract from the essence of the architecture. In order to simplify and shorten the snippets even more, I’m going to use a few alias functions: