https://github.com/erisilver/stanford-machinelearning-ex3-handwrittendigitrecognition

Handwritten Digit Recognition by 2 methods: - Multi-class classification (oneVsAll) - Neural Network ---- OCTAVE -- the exercise details are in ex3.pdf
https://github.com/erisilver/stanford-machinelearning-ex3-handwrittendigitrecognition

multiclass-logistic-regression neural-network octave

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Handwritten Digit Recognition by 2 methods: - Multi-class classification (oneVsAll) - Neural Network ---- OCTAVE -- the exercise details are in ex3.pdf

• Host: GitHub
• URL: https://github.com/erisilver/stanford-machinelearning-ex3-handwrittendigitrecognition
• Owner: EriSilver
• Created: 2021-12-30T23:43:39.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-01-02T11:33:01.000Z (almost 3 years ago)
• Last Synced: 2023-08-25T18:23:35.826Z (about 1 year ago)
• Topics: multiclass-logistic-regression, neural-network, octave
• Language: MATLAB
• Homepage: https://www.coursera.org/learn/machine-learning
• Size: 7.37 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:

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