Paper

• Large-Scale Evolution of Image Classifiers

• A guide to convolution arithmetic for deep learning:콘볼루션의 패딩 계산, [한글 번역]

List of

• List of Awesome Deep Vision: Jiwon Kim

• What is the class of this image ?: 경진대회 우수 방식 및 논문 리스트

Article (blog)

• Deep Learning for Computer Vision – Introduction to Convolution Neural Networks
• The Neural Network Zoo
• Youtube:How an algorithm behind Deep Learning works[정리]
• Understanding regularization for image classification and machine learning
• 딥 러닝을 위한 콘볼루션 계산 가이드
• PPT:최성준 딥러닝 6주 수업 : AlexNet, VGG net, GoogleLeNet, ResNet을 설명하고, Logistic regression, multilayer perceptron, convolutional neural network를 구현
• ppt_Convolutional neural network in practice
• Convolution arithmetic
• Deep Visualization Tool
• Image Completion with Deep Learning in TensorFlow : Brandon Amos, Ph.D at Carnegie Mellon University
• 7 Steps to Understanding Computer Vision
• Competition Scripts: Techniques for Tackling Image Processing
• Deep Learning Research Review: Generative Adversarial Nets

• Deep Learning for Computer Vision – Introduction to Convolution Neural Networks

• 이미지 분석에 꼭 필요한 딥러닝 기술을 정리한 자료

• 추천: Data Augmentation: TensorFlowKR 글

• 추천:딥러닝 마일스톤: CNN 발전 순서

• Architecture of Convolutional Neural Networks (CNNs) demystified: Fundamental concepts are explained to make them clear on ConvNet(CNN)

동영상

• Convolutional Neural Networks and Computer Vision

Material(ppt, pdf)

• ppt : Deep Learning in Computer Vision : Sungjoon Samuel 작성

• ppt: Convolutional neural network in practice

• ppt_CNN 초보자가 만드는 초보자 가이드 (VGG 약간 포함)

Tutorial (Serise)

• [UCLA CNN] A Beginner’s Guide To Understanding Convolutional Neural Networks

  • [Step1]
  • [Step2]
  • [Step3]

• IMPLEMENTING A CNN FOR TEXT CLASSIFICATION IN TENSORFLOW

• 컨볼루션 이해하기: 추천, colah글 번역

• 조대협의 초보자를 위한 컨볼루셔널 네트워크를 이용한 이미지 인식의 이해

  • 개요
  • 1/2
  • 예측
  • 실습
  • 영문1/2
  • 영문2/2

Implementation

-Image augmentation for machine learning experiments.

• Google의 오픈소스 Inception v3 네트워크로 컴퓨터비전 구현하기: Google API이용