Not Entirely Unambiguous

A blog at the convex hull of ML, Physics, and Bayesian Inference.

Hi - I’m Anoop.

I’m an AI researcher at Unlearn.ai with a background in Physics. I’m broadly interested in Bayesian Inference, Statistical Physics, and Interpretability. This site is a collection of technical notes and essays on topics that interest me. I hope they interest you too!


Recent Posts

Regularization

Data Augmentation, Weight Decay, Dropout, Label Smoothing, and Early Stopping.

Optimizers

Stochastic Gradient Descent, Momentum, RMSProp, and Adam. How to use gradients.

Backpropagation

The first post in the “Notebook of Things I Don’t Know About”. A simple rederivation and NumPy implementation of the Backpropagation algorithm for feedforward networks.

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