Intelligence and Learning - Nature of Code Part 2

Intelligence and Learning - Nature of Code Part 2

The Coding Train via YouTube Direct link

10.5: Neural Networks: Multilayer Perceptron Part 2 - The Nature of Code

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10.5: Neural Networks: Multilayer Perceptron Part 2 - The Nature of Code

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Intelligence and Learning - Nature of Code Part 2

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  1. 1 Introduction to "Intelligence and Learning"
  2. 2 1.1: Introduction to Session 1 - Intelligence and Learning
  3. 3 Coding Challenge #65.1: Binary Search Tree
  4. 4 Coding Challenge #65.2: Visualizing a Binary Tree
  5. 5 Coding Challenge #68: Breadth-First Search Part 1
  6. 6 Coding Challenge #68: Breadth-First Search Part 2
  7. 7 Coding Challenge 10: Maze Generator
  8. 8 Coding Challenge 10: Maze Generator (Part II)
  9. 9 Coding Challenge 10: Maze Generator (Part III)
  10. 10 Coding Challenge 10: Maze Generator (Part IV)
  11. 11 A* Pathfinding Algorithm (Coding Challenge 51 - Part 1)
  12. 12 Coding Challenge 51.2: A* Pathfinding Algorithm - Part 2
  13. 13 Coding Challenge 51.3: A* Pathfinding Algorithm - Part 3
  14. 14 1.2: Exercise Ideas: Session 1 - Intelligence and Learning
  15. 15 2.1: Introduction to Session 2 - Intelligence and Learning
  16. 16 9.1: Genetic Algorithm: Introduction - The Nature of Code
  17. 17 9.2: Genetic Algorithm: How it works - The Nature of Code
  18. 18 9.3: Genetic Algorithm: Shakespeare Monkey Example - The Nature of Code
  19. 19 9.4: Genetic Algorithm: Looking at Code - The Nature of Code
  20. 20 9.5: Genetic Algorithm: Fitness, Genotype vs Phenotype - The Nature of Code
  21. 21 9.6: Genetic Algorithm: Improved Fitness Function - The Nature of Code
  22. 22 9.7: Genetic Algorithm: Pool Selection - The Nature of Code
  23. 23 9.8: Weighted Selection (for Genetic Algorithms) - The Nature of Code
  24. 24 9.9: Genetic Algorithm: Interactive Selection - The Nature of Code
  25. 25 9.10: Genetic Algorithm: Continuous Evolutionary System - The Nature of Code
  26. 26 Coding Challenge #35.5: TSP with Genetic Algorithm and Crossover
  27. 27 Coding Challenge #69: Evolutionary Steering Behaviors - Part 1
  28. 28 Coding Challenge #69: Evolutionary Steering Behaviors - Part 2
  29. 29 Coding Challenge #69: Evolutionary Steering Behaviors - Part 3
  30. 30 Coding Challenge #69: Evolutionary Steering Behaviors - Part 4
  31. 31 Coding Challenge #69: Evolutionary Steering Behaviors - Part 5 (Bonus)
  32. 32 Coding Challenge 35: Traveling Salesperson
  33. 33 Coding Challenge #35.2: Lexicographic Order
  34. 34 Coding Challenge #35.3: Traveling Salesperson with Lexicographic Order
  35. 35 Coding Challenge #35.4: Traveling Salesperson with Genetic Algorithm
  36. 36 2.2: Exercise Ideas: Session 2 - Intelligence and Learning
  37. 37 3.1: Introduction to Session 3 - What is Machine Learning?
  38. 38 Coding Challenge #70: Nearest Neighbors Recommendation Engine - Part 1
  39. 39 Coding Challenge #70: Nearest Neighbors Recommendation Engine - Part 2
  40. 40 Coding Challenge #70: Nearest Neighbors Recommendation Engine - Part 3
  41. 41 3.2: Linear Regression with Ordinary Least Squares Part 1 - Intelligence and Learning
  42. 42 3.3: Linear Regression with Ordinary Least Squares Part 2 - Intelligence and Learning
  43. 43 3.4: Linear Regression with Gradient Descent - Intelligence and Learning
  44. 44 3.5: Mathematics of Gradient Descent - Intelligence and Learning
  45. 45 3.5a: Calculus: Power Rule - Intelligence and Learning
  46. 46 3.5b: Calculus: Chain Rule - Intelligence and Learning
  47. 47 3.5c: Calculus: Partial Derivative - Intelligence and Learning
  48. 48 10.2: Neural Networks: Perceptron Part 1 - The Nature of Code
  49. 49 10.3: Neural Networks: Perceptron Part 2 - The Nature of Code
  50. 50 10.4: Neural Networks: Multilayer Perceptron Part 1 - The Nature of Code
  51. 51 10.5: Neural Networks: Multilayer Perceptron Part 2 - The Nature of Code
  52. 52 10.6: Neural Networks: Matrix Math Part 1 - The Nature of Code
  53. 53 10.7: Neural Networks: Matrix Math Part 2 - The Nature of Code
  54. 54 10.8: Neural Networks: Updating Code to ES6 - The Nature of Code
  55. 55 10.9: Neural Networks: Matrix Math Part 3 - The Nature of Code
  56. 56 10.10: Neural Networks: Matrix Math Part 4 - The Nature of Code
  57. 57 10.11: Neural Networks: Matrix Class Improvements - The Nature of Code
  58. 58 10.12: Neural Networks: Feedforward Algorithm Part 1 - The Nature of Code
  59. 59 10.13: Neural Networks: Feedforward Algorithm Part 2 - The Nature of Code
  60. 60 10.14: Neural Networks: Backpropagation Part 1 - The Nature of Code
  61. 61 10.15: Neural Networks: Backpropagation Part 2 - The Nature of Code
  62. 62 10.16: Neural Networks: Backpropagation Part 3 - The Nature of Code
  63. 63 10.17: Neural Networks: Backpropagation Part 4 - The Nature of Code
  64. 64 10.18: Neural Networks: Backpropagation Part 5 - The Nature of Code

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