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Udacity Deep Learning Foundation v1

Part 07 Module 01 Lesson 01 Introduction to Neural Networks 27 Notebook Gradient Descent html

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Udacity - Deep Learning Foundation v1.0.0

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/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/27. Notebook Gradient Descent.html

8.8 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/26. Pre-Lab Gradient Descent.html

10.1 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent.html

16.2 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/28. Perceptron vs Gradient Descent.html

8.7 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/36. Notebook Analyzing Student Data.html

8.8 KB

/Part 01-Module 03-Lesson 02_Intro to Neural Networks/10. Gradient Descent.html

13.5 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/07. Perceptrons.html

9.4 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions.html

8.4 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding.html

8.3 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/23. Logistic Regression.html

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/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons.html

8.4 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction.html

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/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/06. Higher Dimensions.html

9.4 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Trick.html

12.1 KB

/Part 07-Module 01-Lesson 01_Introduction to Neural Networks/14. Log-loss Error Function.html

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