Blog Posts

Attention in machine learning is like the brain's spotlight, highlighting important parts of data. Introduced in 2014, it focuses on relevant information using "queries," "keys," and "values." Imagine a model yelling, "Hey, brain, remember that detail!" to handle complex tasks like translating long sentences.

Why does someone use a 1x1 convolution? And why is it called 1x1? It sounds like a pixel-sized joke! When it first showed up, people probably thought it was a prank. But hold on, let's dive deep into this mysterious little guy and unravel the math magic behind it.