Deep Learning

Exploring neural networks, machine learning algorithms, and deep learning architectures.

Beyond Loss Minimization: A Bayesian View of Deep Learning

7 March 2026deep learning | math

An introduction to Bayesian concepts in deep learning that links marginal likelihood, curvature, and effective dimensionality to the geometry of flat minima and generalization.

An image showing encrypted & decrypted text

Image by Google DeepMind on Unsplash

A Method for Text to Text Encryption Using LLMs

1 February 2026deep learning | math | llm | crypto

In this article, I explore a fun and probably useless application of language models: encrypting messages in natural language. This article includes a demo with an encrypted chat.

Why is the Adam Optimizer Working so Well?

1 February 2026deep learning | math

In this article I present a Bayesian derivation of the Adam optimizer. I think is a more convincing explanation of it's success compared to more traditional derivations which use a bound on the regret.