FreeCoursesOnline Me UDACITY Deep Learning Nanodegree Program FCO

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/27. Notebook Gradient Descent.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/26. Pre-Lab Gradient Descent.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/28. Perceptron vs Gradient Descent.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/36. Notebook Analyzing Student Data.html

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

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/12. Non-Linear Regions.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/23. Logistic Regression.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons.html

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

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/06. Higher Dimensions.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Trick.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/14. Log-loss Error Function.html

/Part 02-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-linear Data.html

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