Udemy - Algorithmic Problems in Python [Desire Course]

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[DesireCourse.Net] Udemy - Algorithmic Problems & Neural Networks in Python 1. Introduction
  • 1. Introduction.mp4 (4.2 MB)
  • 1. Introduction.vtt (2.1 KB)
2. Backtracking
  • 1. Backtracking introduction.mp4 (14.4 MB)
  • 1. Backtracking introduction.vtt (6.8 KB)
  • 10. Knight tour implementation.mp4 (21.1 MB)
  • 10. Knight tour implementation.vtt (9.7 KB)
  • 11. UPDATE Knight's Tour.html (0.7 KB)
  • 12. Maze problem introduction.mp4 (6.8 MB)
  • 12. Maze problem introduction.vtt (4.1 KB)
  • 13. Maze problem implementation.mp4 (20.7 MB)
  • 13. Maze problem implementation.vtt (9.0 KB)
  • 14. NP-complete problems.mp4 (9.0 MB)
  • 14. NP-complete problems.vtt (4.5 KB)
  • 2. N-queens problem introduction.mp4 (22.6 MB)
  • 2. N-queens problem introduction.vtt (12.1 KB)
  • 3. N-queens problem implementation.mp4 (29.0 MB)
  • 3. N-queens problem implementation.vtt (14.4 KB)
  • 4. Hamiltonian cycle introduction.mp4 (21.7 MB)
  • 4. Hamiltonian cycle introduction.vtt (9.9 KB)
  • 5. Hamiltonian cycle illustration.mp4 (13.2 MB)
  • 5. Hamiltonian cycle illustration.vtt (6.6 KB)
  • 6. Hamiltonian cycle implementation.mp4 (24.8 MB)
  • 6. Hamiltonian cycle implementation.vtt (11.2 KB)
  • 7. Coloring problem introduction.mp4 (22.0 MB)
  • 7. Coloring problem introduction.vtt (10.8 KB)
  • 8. Coloring problem implementation.mp4 (17.5 MB)
  • 8. Coloring problem implementation.vtt (7.9 KB)
  • 9. Knight tour introduction.mp4 (9.0 MB)
  • 9. Knight tour introduction.vtt (4.4 KB)
3. Dynamic Programming
  • 1. Dynamic programming introduction.mp4 (8.6 MB)
  • 1. Dynamic programming introduction.vtt (3.8 KB)
  • 10. Rod cutting problem introduction.mp4 (12.7 MB)
  • 10. Rod cutting problem introduction.vtt (6.0 KB)
  • 11. Rod cutting problem example.mp4 (18.9 MB)
  • 11. Rod cutting problem example.vtt (9.3 KB)
  • 12. Rod cutting problem implementation.mp4 (14.6 MB)
  • 12. Rod cutting problem implementation.vtt (6.7 KB)
  • 2. Fibonacci numbers introduction.mp4 (13.4 MB)
  • 2. Fibonacci numbers introduction.vtt (6.4 KB)
  • 3. Fibonacci numbers implementation.mp4 (12.0 MB)
  • 3. Fibonacci numbers implementation.vtt (5.4 KB)
  • 4. Knapsack problem introduction.mp4 (31.2 MB)
  • 4. Knapsack problem introduction.vtt (13.9 KB)
  • 5. Knapsack problem example.mp4 (30.1 MB)
  • 5. Knapsack problem example.vtt (13.9 KB)
  • 6. Knapsack problem implementation.mp4 (18.7 MB)
  • 6. Knapsack problem implementation.vtt (7.9 KB)
  • 7. Coin change problem introduction.mp4 (22.3 MB)
  • 7. Coin change problem introduction.vtt (10.1 KB)
  • 8. Coin change problem example.mp4 (13.6 MB)
  • 8. Coin change problem example.vtt (6.6 KB)
  • 9. Coin change problem implementation.mp4 (17.7 MB)
  • 9. Coin change problem implementation.vtt (8.5 KB)
4. Neural Network Theory
  • 1. ---------- NEURAL NETWORKS INTRODUCTION ----------.html (0.0 KB)
  • 10. ---------- BACKPROPAGATION ----------.html (0.0 KB)
  • 11. Feedforward neural networks.mp4 (18.4 MB)
  • 11. Feedforward neural networks.vtt (8.9 KB)
  • 12. Optimization - cost function.mp4 (25.9 MB)
  • 12. Optimization - cost function.vtt (11.9 KB)
  • 13. Simplified feedforward network.mp4 (19.4 MB)
  • 13. Simplified feedforward network.vtt (9.0 KB)
  • 14. Feedforward neural network topology.mp4 (14.7 MB)
  • 14. Feedforward neural network topology.vtt (6.6 KB)
  • 15. The learning algorithm.mp4 (13.3 MB)
  • 15. The learning algorithm.vtt (6.0 KB)
  • 16. Error calculation.mp4 (13.7 MB)
  • 16. Error calculation.vtt (6.5 KB)
  • 17. Gradient calculation I - output layer.mp4 (20.3 MB)
  • 17. Gradient calculation I - output layer.vtt (9.3 KB)
  • 18. Gradient calculation II - hidden layer.mp4 (9.2 MB)
  • 18. Gradient calculation II - hidden layer.vtt (4.1 KB)
  • 19. Backpropagation.mp4 (12.7 MB)
  • 19. Backpropagation.vtt (5.7 KB)
  • 2. Axons and neurons in the human brain.mp4 (19.0 MB)
  • 2. Axons and neurons in the human brain.vtt (9.4 KB)
  • 20. Backpropagation II.mp4 (4.7 MB)
  • 20. Backpropagation II.vtt (2.0 KB)
  • 21. Applications of neural networks I - character recognition.mp4 (8.8 MB)
  • 21. Applications of neural networks I - character recognition.vtt (4.4 KB)
  • 22. Applications of neural networks II - stock market forecast.mp4 (9.5 MB)
  • 22. Applications of neural networks II - stock market forecast.vtt (4.7 KB)
  • 23. Deep learning.mp4 (9.5 MB)
  • 23. Deep learning.vtt (4.6 KB)
  • 3. Modeling human brain.mp4 (16.0 MB)
  • 3. Modeling human brain.vtt (8.4 KB)
  • 4. Learning paradigms.mp4 (6.4 MB)
  • 4. Learning paradigms.vtt (3.1 KB)
  • 5. Artificial neurons - the model.mp4 (16.3 MB)
  • 5. Artificial neurons - the model.vtt (7.3 KB)
  • 6. Artificial neurons - activation functions.mp4 (14.0 MB)
  • 6. Artificial neurons - activation functions.vtt (6.6 KB)
  • 7. Artificial neurons - an example.mp4 (11.2 MB)
  • 7. Artificial neurons - an example.vtt (4.6 KB)
  • 8. Neural networks - the big picture.mp4 (10.6 MB)
  • 8. Neural networks - the big picture.vtt (4.9 KB)
  • 9. Applications of neural networks.mp4 (5.2 MB)
  • 9. Applications of neural networks.vtt (2.4 KB)
5. Neural Network Implementation
  • 1. Neural network implementation - representations.mp4 (10.1 MB)
  • 1. Neural network implementation - representations.vtt (4.9 KB)
  • 2. Neural network implementation - helper methods.mp4 (8.1 MB)
  • 2. Neural network implementation - helper methods.vtt (3.8 KB)
  • 3. Neural network implementation - initialize.mp4 (14.9 MB)
  • 3. Neural network implementation - initialize.vtt (5.8 KB)

Description

Algorithmic Problems in Python

Learn recursion, backtracking (n-queens problem etc.) and dynamic programming (knapsack problem etc.)

For More Courses Visit: https://desirecourse.net



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826.5 MB
seeders:6
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Udemy - Algorithmic Problems in Python [Desire Course]

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826.5 MB
seeders:6
leechers:11
Udemy - Algorithmic Problems in Python [Desire Course]

Torrent hash: E26B68D7489DEEB91F0C502BA9C1EAB4D64FE2C7