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CourseClub NET Udacity Data Scientist v1

Part 03 Module 01 Lesson 01 Introduction to Neural Networks 09 Perceptrons as Logical Operators html

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[CourseClub.NET] Udacity - Data Scientist v1.0.0

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/09. Perceptrons as Logical Operators.html

24.3 KB

/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/28. Perceptron vs Gradient Descent.html

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/11. Perceptron Algorithm.html

21.7 KB

/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Trick.html

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/07. Perceptrons.html

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons.html

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.mp4

2.0 MB

/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries.html

9.1 KB

/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/06. Higher Dimensions.html

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks.html

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions.html

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous.html

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/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation.html

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/Part 02-Module 01-Lesson 03_Perceptron Algorithm/07. Perceptrons as Logical Operators.html

21.5 KB

/Part 03-Module 01-Lesson 01_Introduction to Neural Networks/01. Instructor.html

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