Intro This project demonstrates how an existing deep learning model can be refined to perform better on local data. It walks through how transfer learning allows a pretrained model to adapt to new imagery and conditions, using ArcGIS Pro as a complete workspace for deep learning. Preparing the Project The lab begins with the Seattle_Building_Detection project, which contains NAIP aerial
Tag: artificial intelligence
The danger isn’t that the machines will become sentient. The danger is that we’ll stop acting like we are. We built machines to think for us. Then we built better ones to think faster. Now we’re teaching them to think without us, and to smile while doing it. Academics call it a “paradigm shift.” I call it a slow-motion dismantling
Three books. One message. Humanity keeps building what it cannot control. The rest is just paperwork and code Pre-review, on purpose I have not yet read If Anyone Builds It, Everyone Dies by Eliezer Yudkowsky. I placed it on my shelf for a reason. Its reputation arrived before the book did, and it has already started an argument in my