Reading Learning Curves: Diagnosing Model Training
Your model finished training. Accuracy: 94%. You lean back, satisfied. Then it meets real data and falls apart like a …
Abhay
4 min read
Your model finished training. Accuracy: 94%. You lean back, satisfied. Then it meets real data and falls apart like a …
Abhay
4 min read
Every machine learning project eventually hits the same wall: the model is hungry, and you are out of data. Labelling …
Abhay
4 min read
Three little words trip up almost everyone learning deep learning: epoch, iteration, and batch size. They sound like …
Abhay
4 min read
Somewhere along the way, “AI” and “deep learning” became the same word in most people’s …
Abhay
4 min read
Imagine teaching a child to read without ever buying a book of answers. You just hand them sentences with a few words …
Abhay
4 min read
Imagine handing someone a detailed photograph, asking them to describe it in a single tweet, and then demanding they …
Abhay
4 min read
You open Netflix to watch one specific thing, and forty minutes later you’re three episodes into a Korean baking …
Abhay
5 min read
A neural network is, at heart, a very confident guesser that is wrong a lot at first. You show it a photo of a cat, it …
Abhay
4 min read
Show a toddler a cat once and they’ll spot cats forever — fluffy ones, grumpy ones, cats half-hidden behind a …
Abhay
4 min read
Most of the data we actually care about doesn’t fit neatly into a spreadsheet. Your social circle isn’t a …
Abhay
4 min read