- 모두를 위한 머신러닝/딥러닝 강의 (Kim Sung Hun, RL, DL)
- 모두를 위한 딥러닝 시즌 2 | Deep Learning Zero To All - Season 2 (TensorFlow, PyTorch)
- [부스트코스] 텐서플로우로 시작하는 딥러닝 기초 Course introduction : edwith
- Machine Learning | Coursera
- Machine Learning Crash Course | Google Developers
- Project Jupyter | Home
- Welcome To Colaboratory - Colaboratory
- Kaggle: Your Home for Data Science
- MIT Deep Learning
- Stanford Artificial Intelligence Laboratory
- Unsupervised Feature Learning and Deep Learning Tutorial (UFLDL tutorial, stanford)
- Stanford Institute for Human-Centered Artificial Intelligence |
- Stanford University CS231n: Convolutional Neural Networks for Visual Recognition
- Stanford CS 224N | Natural Language Processing with Deep Learning
- CS230: Deep Learning | Autumn 2018 - YouTube
- OpenAI
- Homepage | DeepMind (What if solving one problem could unlock solutions to thousands more?)
- 머신러닝 공부 순서, 방법 및 강의 정리
- Machine learning 스터디 (20-1) Multi-armed Bandit - README (SanghyukChun's Blog, ML)
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | Coursera
- C++로 배우는 딥러닝 : 네이버 블로그 (홍정모)
- Fundamental of Reinforcement Learning (이웅원 Woong won Lee)
- 강화학습 기초부터 DQN까지 (Reinforcement Learning from Basics to DQN) (박진우, The 9th KIAS CAC Summer School 발표자료)
- All about Reinforcement learning (wonseok Jung, 정원석, Reinforcement Learning)
- Deep RL Bootcamp - Lectures (video & slides & labs)
- MIT 6.S191: Introduction to Deep Learning (lecture slides & video)
- Dive into Deep Learning — Dive into Deep Learning 0.7 documentation
- [MIT]인공지능개론 Course introduction : edwith
- MLPerf (Machine Learning Performance Benchmark)
- Designing more efficient convolution neural network (NAVER, Kim Dongyi)
- Machine Learning Deep Learning Artificial Intelligence | Techgrabyte
- 11 Most Amazing AutoML Tools To Automate The Machine Learning
- Machine Learning 정리 · GitBook (김지훈 jihuun, Andrew Ng Coursera 강의 정리)
- fast.ai · Making neural nets uncool again
- Shelley (Human-AI collaborated horror stories)
- QuillBot | Free Paraphrasing Tool - Best Article Rewriter
- Lightkey - Predictive Typing Software For Windows
- StoryAI - Ask the A.I. to complete your ideas, and discover which text the A.I. generates
- Bayesian Deep Learning 101 (Yarin Gal)
- Sungchul Lee - YouTube (이승철, 연세대학교 수학과, ML, DL, RL)
- Home - AI College (6 Unsolved Real Problems)
- ParlAI (facebook research)
- GIS Developer – 공간정보시스템 기반 기술 연구소 @지오서비스(GEOSERVICE)
- AIHub | AI 오픈 이노베이션 허브
- Towards Data Science (Medium, Sharing concepts, ideas, and codes)
- Home - Andrew NgAndrew Ng
- Advanced NLP with spaCy · A free online course
- PyImageSearch - Be awesome at OpenCV, Python, deep learning, and computer vision
- T아카데미 | 스마트 ICT 전문가 양성
- T아카데미 | 스마트 ICT 전문가 양성 (박찬준, 기계번역 입문)
- T아카데미 | 스마트 ICT 전문가 양성 (박찬준, 기계번역 입문)
- PyTorch
- PyTorch - YouTube (PyTorch Developer Conference 2019)
- Deep Learning with PyTorch | PyTorch
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- TensorFlow (An end-to-end open source machine learning platform)
- TensorFlow Hub
- TensorBoard.dev
- TensorFlow.js (library for machine learning in JavaScript)
- Clova AI Research Blog
- Preface · Artificial Inteligence (Gitbook)
- 라온피플 (Laon People) : 네이버 블로그 (라온피플 머신러닝 아카데미)
- 더북(TheBook): 모두의 딥러닝
- 텐서 플로우 블로그 (Tensor ≈ Blog) | 머신러닝(Machine Learning), 딥러닝(Deep Learning) 그리고 텐서(Tensor) 또 파이썬(Python) (박해선, Google Developers Experts)
- scikit-learn: machine learning in Python — scikit-learn 0.21.3 documentation
- 2019 구글 스터디 잼 - 머신러닝 통합
- Home - Keras Documentation
- Berkeley Artificial Intelligence Research Lab
- FastML (Machine learning made easy)
- WordNet | A Lexical Database for English
- ImageNet
- 딥 러닝을 이용한 자연어 처리 입문 - WikiDocs
- Open Source Innovation in Artificial Intelligence, Machine Learning, and Deep Learning - LF AI
- Deep Learning (An MIT Press book, Ian Goodfellow and Yoshua Bengio and Aaron Courville)
- Home - deeplearning.ai
- KoNLPy: Korean NLP in Python — KoNLPy 0.5.2 documentation
- Skymind: The Secret to Faster AI
- Neural Network Intelligence Documentation — Neural Network Intelligence v1.2 documentation
- Christopher Bishop at Microsoft Research
- 데이터 지능 팟캐스트 – 전문가들이 들려주는 데이터 & 인공지능 이야기
- Python Data Analysis Library — pandas: Python Data Analysis Library
- SUALAB Research Blog
- Welcome to SNU Biointelligence Lab!! (Courses : AI, ML)
- 테크 스케치 : 네이버 블로그 (파이썬과 텐서플로우(Python & Tensorflow)를 이용한 머신러닝 스터디)
- [RL] Prologue (숨니의 무작정 따라하기)
- Chris McCormick · Machine Learning Tutorials and Insights
- Machine Learning (귀퉁이 서재, Baek Kyun Shin)
- OpenCV (Open Source Computer Vision)
- OpenResearch.ai
- TensorFlow: Data and Deployment | Coursera
- 김성범[ 교수 / 산업경영공학부 ] - YouTube ([핵심 머신러닝])
- 모두를 위한 컨벡스 최적화 (Convex Optimization For All) - WikiDocs
- WildML – Artificial Intelligence, Deep Learning, and NLP
- dennybritz/reinforcement-learning: Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
- Python, Keras and TensorFlow with Applications of Deep Neural Networks. Washington University
- Reinforcement Learning: Actor-Critic Networks | Oracle AI and Data Science Blog
- Visualising high-dimensional datasets using PCA and t-SNE in Python
- AI For Filmmaking
- Emergent Tool Use from Multi-Agent Interaction
- Multi-Agent Hide and Seek - YouTube
- The Illustrated GPT-2 (Visualizing Transformer Language Models) – Jay Alammar – Visualizing machine learning one concept at a time
- Solving Rubik’s Cube with a Robot Hand
- Machine Learning for Trading | Udacity (Artificial Intelligence for Trading by WorldQuant)
- What is the relationship between PyTorch and Torch? - Stack Overflow
- RethNet: Object-by-Object Learning for Detecting Facial Skin Problems
- TensorFlow.js: 웹 프론트엔드에서 머신러닝 활용하기 - LINE ENGINEERING
- 57 Summaries of Machine Learning and NLP Research - Marek Rei
- 74 Summaries of Machine Learning and NLP Research - Marek Rei
- GLUE Explained: Understanding BERT Through Benchmarks · Chris McCormick
- RL (RL을 시작하기 전에 미리 알아야 하는 내용들)
- Bayesian Optimization 개요: 딥러닝 모델의 효과적인 hyperparameter 탐색 방법론 (1)
- Tombone's Computer Vision Blog: Computer Vision and Visual SLAM vs. AI Agents
- [A-GIST R&V] Does Computer Vision Matter for Action? - YouTube
- Getting Started with Markov Decision Processes: Reinforcement Learning
- Deep Learning with Python: Francois Chollet: 9781617294433: Amazon.com: Books
- 인공지능/케라스창시자에게 배우는 딥러닝 (수학과의 좌충우돌 프로그래밍)
- 케라스 창시자에게 배우는 딥러닝 - Subinium의 코딩일지
- DeepOverwatch — combining TensorFlow.js, Overwatch, Computer Vision, and Music.
- Estimating Body Mass Index from Face Images Using Keras and Transfer Learning
- AI 50: America’s Most Promising Artificial Intelligence Companies
- Large Scale Deep Learning with TensorFlow - YouTube (Jeff Dean, Google)
- TensorFlow World 2019 - YouTube
- Reinforcement Learning Course | DeepMind & UCL - YouTube
- DeepMind x UCL | Deep Learning Lecture Series 2020 - YouTube
- A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
- [1811.12560] An Introduction to Deep Reinforcement Learning
- [1902.09843] Adaptive Gradient Methods with Dynamic Bound of Learning Rate
- [1909.05379v1] Specifying Object Attributes and Relations in Interactive Scene Generation
- [1812.03664] Learning Embedding Adaptation for Few-Shot Learning
- [1908.03265] On the Variance of the Adaptive Learning Rate and Beyond
- [1708.00909] Machine learning for neural decoding
- [1911.04252] Self-training with Noisy Student improves ImageNet classification
- [1911.08265] Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
- [1911.09070] EfficientDet: Scalable and Efficient Object Detection
- [1912.02807] Combining Q-Learning and Search with Amortized Value Estimates
- [1506.02640] You Only Look Once: Unified, Real-Time Object Detection
- [1612.08242] YOLO9000: Better, Faster, Stronger
- YOLO: Real-Time Object Detection
- 이미지 Detection 문제와 딥러닝: YOLOv2로 얼굴인식하기
- 개발자 이상현 :: [6] YOLO 데이터(이미지) 학습
- (YOLO) You Only Look Once: Unifed, Real-Time Object Detection - Convolutional Neural Network / Object Detection - OpenResearch.ai
- [object detection] YOLO 모델의 원리
- [분석] YOLO
- YOLO, Object Detection Network : 네이버 블로그
- [논문 요약12] You Only Look Once: Unified, Real-Time Object Detection
- [Deeplearning] YOLO!, You Only Look Once : Unified, Real-Time object Detection :: Martin
- Teachable Machine 2.0 makes AI easier for everyone
- Neural network reconstructs human thoughts from brain waves in real time