Ravoxsg/A_chronology_of_deep_learning
Tracing back and exposing in chronological order the main ideas in the field of deep learning, to help everyone better understand the current intense research in AI.
This resource provides a chronological overview of key research papers that define the field of deep learning. It helps scientists, researchers, and students understand the evolution of AI breakthroughs like image classification and speech recognition. The input is a desire to learn about deep learning's history, and the output is a curated list of influential academic papers, ordered by date, revealing how core concepts developed.
No commits in the last 6 months.
Use this if you want to understand the historical development and foundational ideas behind current deep learning advancements.
Not ideal if you are looking for practical coding tutorials, implementation guides, or an introductory explanation of what deep learning is at a conceptual level.
Stars
71
Forks
14
Language
—
License
—
Category
Last pushed
Feb 19, 2019
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Ravoxsg/A_chronology_of_deep_learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
reddyprasade/Deep-Learning
Deep learning (also known as deep structured learning or hierarchical learning) is part of a...
zmyzheng/Neural-Networks-and-Deep-Learning
Deep learning projects including applications (face recognition, neural style transfer,...
deep-learning-drizzle/deep-learning-drizzle.github.io
webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses
a2tm7a/papers
A list of paper, books and sites for various different topics related to machine learning and...
ilbash/made_mail.ru
Code and theory from Big Data Academy