MachineLearning:Tutorials

lastmod 2023-02-15created 2016-10-277 edits

Machine learning lectures.

Lecture

1. Machine learning
2. Supervised Learning
3. Regression analysis
4. Linear regression
5. Hypothesis

Math

• Normal distribution

No category

• CNN
• Convolution
• e
• Gradient descent

Laon People - IT industry and AI : Naver Blog

• http://blog.naver.com/laonple/220463627091

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List of leatures

• Machine Learning - Class 01 : Overview
• Machine Learning - Class 02 : Supervised Learning
• Machine Learning - Class 03 : Unsupervised Learning
• Machine Learning - Class 04 : Reinforcement Learning
• Machine Learning - Class 05 : Neural Network
• Machine Learning - Class 06 : History of Neural Network
• Machine Learning - Class 07 : Basic Theory for Neural Network
• Machine Learning - Class 08 : Backpropagation for Neural Network
• Machine Learning - Class 09 : Backpropagation for Neural Network
• Machine Learning - Class 10 : Overview of Overfitting
• Machine Learning - Class 11 : Solutions to Overfitting – 1. Regularization
• Machine Learning - Class 12 : Solutions to Overfitting - 2. Intelligent generation of training data
• Machine Learning - Class 13 : Solutions to Overfitting - 3. Dropout
• Machine Learning - Class 14 : Neural Network - Causes of slow learning
• Machine Learning - Class 15 : Neural Network - The slow learning problem and the "Cross-Entropy Cost Function"
• Machine Learning - Class 16 : The Activation Function 'SoftMax' of Neural Networks
• Machine Learning - Class 17 : 'Hyperparameters' of Neural Networks
• Machine Learning - Class 18 : 'Hyperparameters Optimization' of Neural Networks
• Machine Learning - Class 19 : "CNN(Convolutional Neural Network)" of Neural Networks
• Machine Learning - Class 20 : Neural Network - Why CNN(Convolutional Neural Network)?
• Machine Learning - Class 21 : Neural Network - Structure of CNN(Convolutional Neural Network)?
• Machine Learning - Class 22 : CNN(Convolutional Neural Network) – "Convolutional Layer" - Part 1
• Machine Learning - Class 23 : CNN(Convolutional Neural Network) – "Convolutional Layer" - Part 2
• Machine Learning - Class 24 : CNN(Convolutional Neural Network) – "Best CNN Architecture"
• Machine Learning - Class 25 : Best CNN(Convolutional Neural Network) Architecture – "LeNet5"
• Machine Learning - Class 26 : Best CNN(Convolutional Neural Network) Architecture - AlexNet(Part1)
• Machine Learning - Class 27 : Best CNN(Convolutional Neural Network) Architecture - AlexNet(Part2)
• Machine Learning - Class 28 : Best CNN(Convolutional Neural Network) Architecture - AlexNet(Part3)
• Machine Learning - Class 29 : Best CNN(Convolutional Neural Network) Architecture - ZFNet(Part1)
• Machine Learning - Class 30 : Best CNN(Convolutional Neural Network) Architecture - ZFNet(Part2)
• Machine Learning - Class 31 : Best CNN(Convolutional Neural Network) Architecture - ZFNet(Part3)
• Machine Learning - Class 32 : Best CNN(Convolutional Neural Network) Architecture - GoogLeNet (part1)
• Machine Learning - Class 33 : Best CNN(Convolutional Neural Network) Architecture - GoogLeNet (part2)
• Machine Learning - Class 34 : Best CNN(Convolutional Neural Network) Architecture - GoogLeNet (part3)
• Machine Learning - Class 35 : Best CNN(Convolutional Neural Network) Architecture - GoogLeNet (part4)
• Machine Learning - Class 36 : Best CNN(Convolutional Neural Network) Architecture - GoogLeNet (part5)
• Machine Learning - Class 37 : [Break time] Introduction to Machine Learning - Part 1
• Machine Learning - Class 38 : Best CNN(Convolutional Neural Network) Architecture - GoogLeNet (part6)
• Machine Learning - Class 39 : [Break time] Introduction to Machine Learning - Part 2
• Machine Learning - Class 40 : Best CNN(Convolutional Neural Network) Architecture - VGGNet(Part1)
• Machine Learning - Class 41 : Best CNN(Convolutional Neural Network) Architecture - VGGNet(Part2)
• Machine Learning - Class 42 : Best CNN(Convolutional Neural Network) Architecture - OverFeat
• Machine Learning - Class 43 : Best CNN(Convolutional Neural Network) Architecture - ResNet(part1)
• Machine Learning - Class 44 : Best CNN(Convolutional Neural Network) Architecture - ResNet(part2)
• Machine Learning - Class 45 : Best CNN(Convolutional Neural Network) Architecture - ResNet(part3)
• Machine Learning - Class 46 : Best CNN(Convolutional Neural Network) Architecture - ResNet/Fast R-CNN(part4)
• Machine Learning - Class 47 : Best CNN(Convolutional Neural Network) Architecture - ResNet/Faster R-CNN(part5)
• Machine Learning - Class 48 : Best CNN(Convolutional Neural Network) Architecture - ResNet (part6)
• Machine Learning - Class 49 : Best CNN(Convolutional Neural Network) Architecture - ResNet (part7)
• Machine Learning - Class 50 : Best CNN(Convolutional Neural Network) Architecture - ResNet/Inception-V4 (part8)
• Machine Learning - Class 51 : Core techniques of CNN – Batch Normalization(Part1)
• Machine Learning - Class 52 : Core techniques of CNN – Batch Normalization(Part2)
• Machine Learning - Class 53 : Core techniques of CNN – Dropout(Part1)
• Machine Learning - Class 54 : Core techniques of CNN – Dropout(Part2)
• Machine Learning - Class 55 : Core techniques of CNN – Dropout(Part3)
• Machine Learning - Class 56 : Core techniques of CNN – Stochastic Pooing
• Machine Learning - Class 57 : Core techniques of CNN – Maxout

See also

• Deep learning
• Machine learning
• Creating Moe Illustrations Using AI Tutorial

Favorite site

• [Recommended] Neural Networks and Deep Learning
  • [Recommended] CHAPTER 1: Using neural nets to recognize handwritten digits ¹
    • [Recommended] Translation: Handwriting recognition using a Neural Network ²
  • CHAPTER 6: Deep learning - Introducing convolutional networks
• CS231n: Convolutional Neural Networks for Visual Recognition
  • [Recommended] CS231n Convolutional Neural Networks for Visual Recognition (CNN course taught at Stanford)
  • [Recommended] CS231n Convolutional Neural Networks for Visual Recognition ³
  • Module1 Neural Networks: CS231n_-_Module_1_Neural_Networks_L1-L8.zip
  • Module2 Convolutional Neural Networks: CS231n_-_Module_2_Convolutional_Neural_Networks_L1-L3.zip
  • Github: Notes and assignments for Stanford CS class CS231n: Convolutional Neural Networks for Visual Recognition ⁴
• [Recommended] UFLDL Tutorial: Welcome to the Deep Learning Tutorial! ⁵
  • UFLDL Tutorial: Softmax Regression
  • UFLDL Tutorial: Convolutional Neural Network (Explains CNN simply, and includes sample code exercises so you can learn how the algorithm actually works internally)
  • [Recommended]UFLDL Turotial: Convolutional Neural Network ⁶
  • UFLDL Tutorial (KOR)
• [Recommended] From Machine Learning to Deep Learning (Machine Learning To Deep Learning) ⁷ (A good place to study machine learning and neural nets easily online)
  • [Recommended] deepcumen - Convolutional Neural Network ⁸
• [Recommended] Learning Deep Architecture for AI
• Famous' Archive Dreaming Programmer (Korean machine learning blog - good SVM-related content)
• [Recommended] Modulabs technical blog for those just starting deep learning
  • [Recommended] Machine Learning Basics ⁹
  • Deep Belief Network and Restricted Boltzmann Machine, understood my own way
    • Original: A fast learning algorithm for deep belief nets (PDF)
• CS-449: Neural Networks (Introduction to Neural Networks)
• [Needs verification] Machine Learning/Deep Learning Lectures for Everyone
• [Recommended] Deeplearning4j Documentation (ko)

References