Optimizers Explained: SGD, Momentum, and Adam
Gradient descent tells you which way is downhill. The optimizer decides how to actually take the step. That distinction …
Abhay
4 min read
Gradient descent tells you which way is downhill. The optimizer decides how to actually take the step. That distinction …
Abhay
4 min read
There’s a question that shows up in every AI project meeting eventually, usually around the time someone realises …
Abhay
4 min read
Human language is a glorious mess. We use “bank” for both rivers and money, end sentences with prepositions …
Abhay
5 min read
Most machine learning problems don’t care about order. Shuffle your spam emails, your cat-vs-dog photos, your loan …
Abhay
4 min read
Picture a relay race where every runner secretly changes the distance of the baton handoff between laps. The next runner …
Abhay
5 min read
Every data scientist has felt the high: you train a model, check the test score, and it reads 96%. You mentally draft …
Abhay
5 min read
Your model hits 94% accuracy in the notebook. Everyone claps. Then someone asks the question that turns triumph into …
Abhay
4 min read
Every model wants to be a star pupil. Give it enough freedom and it will happily memorise your training data down to the …
Abhay
4 min read
Neural networks have a branding problem. The name conjures up glowing brains and science-fiction sentience, when the …
Abhay
4 min read
If programming languages were superheroes, Python would definitely be the Tony Stark of Machine Learning and AI - …
Abhay
7 min read