Original date published: July 9, 2025

Deep Learning 120 Challenge

Builing ~120 different deep learning architectures in ~120 days

120 days exploring different deeplearning architecture

Spending the next 120 days learning various deep learning architectures. Going into topics like evaluation, tweaks, optimizations, datasets etc. The idea is to go incrementally over the years, solving each problem with specific architectures one after the other, i.e we are looking at the whole lifetime trajectory of the field of deep learning, if this reads like a story and less like a course then i'm successful. Every scientific endevour is a set of stories and simple ideas passed from one person to another with branches improvements and optimization added along the way, some out of neccessity, some for optimization, some for curiosity, some out of pure spite. Deep learning is no different, i hope to use this as a fun way to also build my foundations in this topic too, not sure how this will go or if i'll finish but it'll be a fun experiment non the less, i hope you find some sort of value from this.

Last updated at: July 9, 2025