CodeRayZhang/Deep-Learning-Papers-Reading-Roadmap
深度学习论文阅读路线图
This is a curated collection of foundational and influential academic papers in deep learning, organized by historical breakthroughs and methodological advancements. It takes a list of key deep learning concepts and provides the corresponding research papers. This resource is invaluable for researchers, students, and practitioners in artificial intelligence who want to understand the origins and evolution of deep learning.
329 stars. No commits in the last 6 months.
Use this if you are an AI researcher, a graduate student in machine learning, or a deep learning practitioner who wants to delve into the seminal papers that shaped the field.
Not ideal if you are looking for practical code implementations, tutorials for building deep learning models, or a high-level overview of deep learning applications.
Stars
329
Forks
91
Language
—
License
—
Category
Last pushed
Feb 13, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/CodeRayZhang/Deep-Learning-Papers-Reading-Roadmap"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
loganthorneloe/ml-roadmap
The simplest, most straightforward way to learn ML for free.
shanmukh05/Machine-Learning-Roadmap
A roadmap for getting started with Machine Learning
kimtth/software-architect-mindmap
🧠Mindmap of 🗺️Software Architecture, Software engineering: An Overview of Software Terminologies...
Bhavik-Jikadara/ai-ml-roadmap
Welcome to the ultimate guide for starting your journey in Artificial Intelligence and Machine...
mohitmishra786/amILearningEnough
Low-Level Programming Roadmap and Resources