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Leo's Garage
스텐포드 AI 관련 온라인 강의 리스트 본문
스탠포드 대학 딥러닝 강의 목록
Deep Learning
http://web.stanford.edu/class/cs230/
CS230 Deep Learning
Course Information In person lectures are on Tuesdays 11:30am-1:20pm.. Lectures will be held at Hewlett Teaching Center 200. All class communication happens on the CS230 Ed forum. For private matters, please make a private note visible only to the course i
web.stanford.edu
[ Natural Language Processing ]
CS 124: From Languages to Information (LINGUIST 180, LINGUIST 280)
http://web.stanford.edu/class/cs124/
CS124 - From Languages to Information (Winter 2024)
We require you come to 6 classes: the 4 live lectures and lab #1 and lab #5 and strongly strongly recommend the other 3 labs and 2 tutorials, you will learn more from doing them with other people (I won't require attendance at labs 2/3/4 but I will give ex
web.stanford.edu
CS 224N: Natural Language Processing with Deep Learning (LINGUIST 284)
http://web.stanford.edu/class/cs224n/
Stanford CS 224N | Natural Language Processing with Deep Learning
Note: In the 2023–24 academic year, CS224N will be taught in both Winter and Spring 2024. --> Natural language processing (NLP) is a crucial part of artificial intelligence (AI), modeling how people share information. In recent years, deep learning appro
web.stanford.edu
CS 224U: Natural Language Understanding (LINGUIST 188, LINGUIST 288)
http://web.stanford.edu/class/cs224u/
CS224U: Natural Language Understanding - Spring 2023
May 29 Memorial Day (no class)
web.stanford.edu
CS 276: Information Retrieval and Web Search (LINGUIST 286)
http://web.stanford.edu/class/cs276
[ Computer Vision ]
CS 131: Computer Vision: Foundations and Applications
http://cs131.stanford.edu
CS 205L: Continuous Mathematical Methods with an Emphasis on Machine Learning
http://web.stanford.edu/class/cs205l/
CS 205L: Continuous Mathematical Methods with an Emphasis on Machine Learning
Winter 2024 Announcement We are keeping the class 100% remote, just like it was for Winter 2021/2022/2023 (including office hours, quizzes, etc.). Attendance will remain 100% optional the entire quarter. Some TAs may hold some in-person office hours. Pleas
web.stanford.edu
CS 231N: Convolutional Neural Networks for Visual Recognition
http://cs231n.stanford.edu/
CS 348K: Visual Computing Systems
http://graphics.stanford.edu/courses/cs348v-18-winter/
Visual Computing Systems : Stanford Winter 2018
Stanford CS348V, Winter 2018 VISUAL COMPUTING SYSTEMS Visual computing tasks such as computational imaging, image/video understanding, and real-time 3D graphics are key responsibilities of modern computer systems ranging from sensor-rich smart phones, auto
graphics.stanford.edu
[ Others ]
CS224W: Machine Learning with Graphs
http://web.stanford.edu/class/cs224w/
CS224W | Home
Content What is this course about? Complex data can be represented as a graph of relationships between objects. Such networks are a fundamental tool for modeling social, technological, and biological systems. This course focuses on the computational, algor
web.stanford.edu
CS 273B: Deep Learning in Genomics and Biomedicine (BIODS 237, BIOMEDIN 273B, GENE 236)
https://canvas.stanford.edu/courses/51037
Deep Learning in Genomics and Biomedicine
Course Overview Recent breakthroughs in high-throughput genomic and biomedical data are transforming biological sciences into "big data" disciplines. In parallel, progress in deep neural networks are revolutionizing fields such as image recognition, natura
canvas.stanford.edu
CS 236: Deep Generative Models
https://deepgenerativemodels.github.io/
Stanford University CS236: Deep Generative Models
Course Description Generative models are widely used in many subfields of AI and Machine Learning. Recent advances in parameterizing these models using deep neural networks, combined with progress in stochastic optimization methods, have enabled scalable m
deepgenerativemodels.github.io
CS 228: Probabilistic Graphical Models: Principles and Techniques
https://cs228.stanford.edu/
CS 228 - Probabilistic Graphical Models
Stefano Ermon ermon [at] cs.stanford.edu Website Charlie Marx ctmarx [at] stanford.edu Sofian Zalouk szalouk [at] stanford.edu Garrett Thomas gwthomas [at] stanford.edu Chaitanya Patel chpatel [at] stanford.edu Devansh Sharma devansh [at] stanford.edu Prob
ermongroup.github.io
CS 330: Deep Multi-Task and Meta Learning
https://cs330.stanford.edu/
CS 330 Deep Multi-Task and Meta Learning
cs330.stanford.edu
CS 337: Al-Assisted Care (MED 277)
http://cs337.stanford.edu/
MED277 | CS337 - AI-Assisted Health Care
Overview Today, anyone can train a near state-of-the-art machine learning model with a laptop, a dataset, and a few lines of code. For many applications, model building is no longer the rate-limiting step in using AI and machine learning to improve human
cs337.stanford.edu
CS 229: Machine Learning (STATS 229)
http://cs229.stanford.edu/
CS229: Machine Learning
CS229: Machine Learning Instructors Course Description This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric
cs229.stanford.edu
CS 229A: Applied Machine Learning
https://cs229a.stanford.edu
CS 234: Reinforcement Learning
http://s234.stanford.edu
CS 221: Artificial Intelligence: Principles and Techniques
https://stanford-cs221.github.io/autumn2019/
CS221: Artificial Intelligence: Principles and Techniques
What is this course about? What do web search, speech recognition, face recognition, machine translation, autonomous driving, and automatic scheduling have in common? These are all complex real-world problems, and the goal of artificial intelligence (AI) i
stanford-cs221.github.io
출처
- Facebook TF Korea의 Kim Sung 교수님
https://www.facebook.com/groups/TensorFlowKR/permalink/1051374671870257/
AGI KR | 스텐포드 딥러닝 수업이 정말 많네요 | Facebook
스텐포드 딥러닝 수업이 정말 많네요. 이번학기 새롭게 업데이트된 자료와 코스도 많으니 추운날 방에서 보고 있으면 이번 겨울이 빠르게 지날것 같습니다. 모두 딥러닝/AI와 함께 따뜻한 겨울
www.facebook.com
위 강의 리스트 외에 스탠포드의 AI 관련 강의 리스트는 아래에서 확인할 수 있다.
https://ai.stanford.edu/courses/
Courses – Stanford Artificial Intelligence Laboratory
We have added video introduction to some Stanford A.I. courses from Fall 2019 CS229. Please check them out at https://ai.stanford.edu/stanford-ai-courses
ai.stanford.edu
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