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機械学習

Machine Learning [Week 11/11] Application Example: Photo OCR

Photo OCR Problem Description and Pipeline Sliding Windows Getting Lots of Data and Artificial Data Ceiling An […]

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機械学習

Machine Learning [Week 10/11] Large Scale Machine Learning

Gradient Descent with Large Datasets Learning With large Datasets Stochastic Gradient Descent Mini-Batch Gradi […]

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機械学習

Machine Learning [Week 09/11] Anomaly Detection / Recommender Systems

Anomaly detection Density Estimation Problem Motivation Gaussian Distribution Algorithm Building an Anomaly De […]

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機械学習

Machine Learning [Week 08/11] Unsupervised Learning / Dimensionality Reduction

Unsupervised Learning Clustering Unsupervised Learning K-Means Algorithm Optimization Objective Random Intiali […]

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機械学習

Machine Learning [Week 07/11] Support Vector Machines

※Coursera Machine Learning Courseの学習メモです Large Margin Classification Optimization Objective Large Margin Intui […]

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機械学習

Machine Learning [Week 06/11] Advice for Applying Machine Learning / Machine Learning System Design

See also DL [Course 2/5] Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimizatio […]

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機械学習

Machine Learning [Week 05/11] Neural Networks: Learning

See also DL [Course 1/5] Neural Networks and Deep Learning [Week 1,2/4] Introduction to deep learning / Neural […]

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機械学習

Machine Learning [Week 04/11] Neural Networks: Representation

[mathjax]Machine Learning (Stanford University) の受講メモ 内容 Neural network forward propagation Multiple classific […]

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機械学習

Machine Learning [Week 03/11] Logistic Regression

[mathjax] Machine Learning (Stanford University) の受講メモ Classification and Representation Classification T […]

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機械学習

Machine Learning [Week 02/11] Linear Regression with Multiple Variables

[mathjax] Machine Learning (Stanford University) の受講メモ Multivariate Linear Regression Multiple Features Note:  […]