June 14, 2024, 12:18 p.m. | /u/ElPoulpo

Deep Learning www.reddit.com

Hi everyone,

I’m excited to share a personal project I've been working on: a series of notebooks covering fundamental aspects of Deep Learning, from derivatives and gradient descent to Transformer architectures. My goal is to make these concepts more accessible to learners of all levels.

🔗 GitHub Repository: [https://github.com/SimonThomine/CoursDeepLearning](https://github.com/SimonThomine/CoursDeepLearning)

🇫🇷 No**te: T**he course materials are currently in French.

# About the Project

The course is still a work in progress, and I'm actively developing it during my spare time. Some …

architectures concepts course deep learning deeplearning derivatives free french fundamental gradient materials notebooks project resources series transformer

Senior Data Engineer

@ Displate | Warsaw

Director of Data Science (f/m/x)

@ AUTO1 Group | Berlin, Germany

Business Intelligence Analyst I [BI Analyst I]

@ Capitec Bank | Stellenbosch, Western Cape, ZA

Data Governance Associate Director

@ Publicis Groupe | London, United Kingdom

Technical Lead - Power BI

@ Birlasoft | INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI, IN

Data Analyst

@ FirstRand Corporate Centre | 1 First Place, Cnr Simmonds & Pritchard Streets, Johannesburg, 2001