Screen shot of gauge from multiple perspectives and multiple lighting conditions

Bean 3 — Gauging the best way to combine Deep Learning and Coffee

In have two previous posts, I sought to combine coffee and deep learning: this one and the latest. Anyone who has been following my blog for a while knows I start with a beginners mind. Lol. In other words, I get almost everything wrong for a while until I sort it out. I appreciate that folx are willing to read along and humor me. My … Continue reading Bean 3 — Gauging the best way to combine Deep Learning and Coffee

Gauging the best way to combine Deep Learning and Coffee — Bean 2

In a previous post on combining coffee and AI, a combo which makes me think of the kind of marketing genius that was Dinosaur Train (Dinosaurs!: But with trains!::Artificial Intelligence!:But with coffee!), we explored the application of deep learning models to coffee extraction. The underlying question, can we easily and quickly train an deep learning model to read a analog gauge so we can digitize … Continue reading Gauging the best way to combine Deep Learning and Coffee — Bean 2

Gauging the best way to combine Deep Learning and Coffee

Bad puns are a currency in my household these days. Sorry/not sorry. Artificial Intelligence, whether machine learning or deep learning, have developed a lot of cachet of late. Some of it is deserved, some is overblown. We are somewhere interesting on the hype curve. As a remote sensing person from way back, I can’t ignore the work in this field, but I also need to … Continue reading Gauging the best way to combine Deep Learning and Coffee