Maximum Likelihood vs Maximum A Posteriori estimate
Published:
Key differences and similarities between two of the most common point estimators
Blog posts
2022
Normalization Methods
Published:
Different normalization methods that can be used to mitigate internal covariate shift and improve model performance.
2021
Statistics and Probability Basics
Published:
Some basic theorems and results in probability and statistics that form the basis for many concepts in machine learning.
OpenAI CLIP
Published:
CLIP jointly learns image and text representations which enables it to perform zero-shot image classification
Transformer Models
Published:
The Transformer is a deep learning model that uses “attention” to determine the relative importance of various parts of the input data.
Generative Adversarial Networks
Published:
GANs are a type of generative models that try to learn the underlying distribution of a given dataset by making two sub-models compete against each other in a zero sum game.
Linux CLI Cheat Sheet
Published:
Some useful commands and shortcuts for linux command line.