ECE 595ML Lecture 15.1: Logistic Regression - Gradient Descent

By Stanley H. Chan

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

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Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 15.1: Logistic Regression - Gradient Descent," https://nanohub.org/resources/32596.

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WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 15.1: Logistic Regression - Gradient Descent
  • Lecture 15.1: Logistic Regression 2 - Gradient Descent 1. Lecture 15.1: Logistic Regress… 0
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  • Overview 2. Overview 111.87854521187855
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  • Outline 3. Outline 129.39606272939608
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  • From Linear to Logistic Regression 4. From Linear to Logistic Regres… 197.29729729729729
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  • Logistic Regression and Deep Learning 5. Logistic Regression and Deep L… 300.73406740073409
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  • Training Loss Function N 6. Training Loss Function N 458.42509175842508
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  • Convexity of Logistic Training Loss 7. Convexity of Logistic Training… 568.86886886886884
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  • Convexity of Logistic Training Loss 8. Convexity of Logistic Training… 640.04004004004
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  • Convexity of Logistic Training Loss 9. Convexity of Logistic Training… 665.53219886553222
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  • Convex Optimization for Logistic Regression 10. Convex Optimization for Logist… 728.06139472806137
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  • Convex Optimization for Logistic Regression 11. Convex Optimization for Logist… 764.3977310643977
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  • Gradient Descent for Logistic Regression 12. Gradient Descent for Logistic … 812.91291291291293
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  • Regularization in Logistic Regression 13. Regularization in Logistic Reg… 977.74441107774442
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  • Regularization in Logistic Regression 14. Regularization in Logistic Reg… 1035.3353353353355
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  • Regularization in Logistic Regression 15. Regularization in Logistic Reg… 1105.5722389055722
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  • Regularization in Logistic Regression 16. Regularization in Logistic Reg… 1206.4731398064732
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  • Try This Online Exercise 17. Try This Online Exercise 1268.234901568235
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