m-kashani/DeepLearning-Summary

Summary of DeepLearning (Korean and English are included)

DeepLearning-Summary

TechBlog

• GAN-wiseodd
• Lunit
• Pattern_Recognition
• Carpedm20
• Sung-Kim-Summary
• 조대협_blog

DeepLearning Lecture

• DLSS, RLSS
• fast.ai
• Siraj Raval
• Terry-deeplearning-talk
• cs231n
• cs231n-korean
• NaverD2
• Enjoy-DL

MachineLearning Lecture

• KAIST_lecture
• Summary_slide
• Awesome Machine Learning Projects

DeepLearning Tutorial

• Yongho Ha_slide
• sjchoi_tutorial
• FastCampus_tutorial

Tensorflow Tutorial

• TensorFlowKR-2017-talk-bestpractice_slide
• Golbin_tutorial

GAN, VAE

• Hwalsuk Lee_slide
• Jaejun Yoo_blog
• illinois_slide

NLP

• RNN
• Word2Vec
• stanford-NLP
• NaverD2_lecture
• NLP_DL_Lecture_Note
• NeuralDialogPaper

Theory

• Chris_blog

etc

• Hyun-seok Min_slide
• K-MOOC_lecture

PR12

• all-KyungmoKweon
• 1~28
• PR29 : Apprenticeship Learning via Inverse Reinforcement Learning
• PR30 : Photo-Realistic Single Image Super Resolution Using a Generative Adversarial Network
• PR31 : Learning to learn by gradient descent by gradient descent
• PR32 : Deep Visual-Semantic Alignments for Generating Image Descriptions
• PR33 : PVANet: Lightweight Deep Neural Networks for Real-time Object Detection
• PR34 : Inception and Xception
• PR35 : Understanding Black-box Predictions via Influence Functions
• PR36 : Learning to Remember Rare Events
• PR37 : Ask me anything: Dynamic memory networks for natural language processing