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DesireCourse Net Udemy Algorithmic Problems Neural Networks in Python

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[DesireCourse.Net] Udemy - Algorithmic Problems & Neural Networks in Python

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Total Size

866.6 MB

Total Files

115

Last Seen

2025-05-06 23:39

Hash

E26B68D7489DEEB91F0C502BA9C1EAB4D64FE2C7

/1. Introduction/

1. Introduction.mp4

4.4 MB

1. Introduction.vtt

2.2 KB

/2. Backtracking/

1. Backtracking introduction.mp4

15.1 MB

1. Backtracking introduction.vtt

6.9 KB

10. Knight tour implementation.mp4

22.1 MB

10. Knight tour implementation.vtt

10.0 KB

11. UPDATE Knight's Tour.html

0.7 KB

12. Maze problem introduction.mp4

7.2 MB

12. Maze problem introduction.vtt

4.2 KB

13. Maze problem implementation.mp4

21.7 MB

13. Maze problem implementation.vtt

9.3 KB

14. NP-complete problems.mp4

9.4 MB

14. NP-complete problems.vtt

4.6 KB

2. N-queens problem introduction.mp4

23.7 MB

2. N-queens problem introduction.vtt

12.4 KB

3. N-queens problem implementation.mp4

30.4 MB

3. N-queens problem implementation.vtt

14.8 KB

4. Hamiltonian cycle introduction.mp4

22.8 MB

4. Hamiltonian cycle introduction.vtt

10.1 KB

5. Hamiltonian cycle illustration.mp4

13.8 MB

5. Hamiltonian cycle illustration.vtt

6.7 KB

6. Hamiltonian cycle implementation.mp4

26.0 MB

6. Hamiltonian cycle implementation.vtt

11.4 KB

7. Coloring problem introduction.mp4

23.1 MB

7. Coloring problem introduction.vtt

11.1 KB

8. Coloring problem implementation.mp4

18.3 MB

8. Coloring problem implementation.vtt

8.1 KB

9. Knight tour introduction.mp4

9.5 MB

9. Knight tour introduction.vtt

4.5 KB

/3. Dynamic Programming/

1. Dynamic programming introduction.mp4

9.0 MB

1. Dynamic programming introduction.vtt

3.9 KB

10. Rod cutting problem introduction.mp4

13.4 MB

10. Rod cutting problem introduction.vtt

6.2 KB

11. Rod cutting problem example.mp4

19.9 MB

11. Rod cutting problem example.vtt

9.5 KB

12. Rod cutting problem implementation.mp4

15.3 MB

12. Rod cutting problem implementation.vtt

6.9 KB

2. Fibonacci numbers introduction.mp4

14.1 MB

2. Fibonacci numbers introduction.vtt

6.5 KB

3. Fibonacci numbers implementation.mp4

12.6 MB

3. Fibonacci numbers implementation.vtt

5.5 KB

4. Knapsack problem introduction.mp4

32.7 MB

4. Knapsack problem introduction.vtt

14.2 KB

5. Knapsack problem example.mp4

31.5 MB

5. Knapsack problem example.vtt

14.3 KB

6. Knapsack problem implementation.mp4

19.6 MB

6. Knapsack problem implementation.vtt

8.1 KB

7. Coin change problem introduction.mp4

23.4 MB

7. Coin change problem introduction.vtt

10.4 KB

8. Coin change problem example.mp4

14.2 MB

8. Coin change problem example.vtt

6.7 KB

9. Coin change problem implementation.mp4

18.6 MB

9. Coin change problem implementation.vtt

8.7 KB

/4. Neural Network Theory/

1. ---------- NEURAL NETWORKS INTRODUCTION ----------.html

0.0 KB

10. ---------- BACKPROPAGATION ----------.html

0.0 KB

11. Feedforward neural networks.mp4

19.3 MB

11. Feedforward neural networks.vtt

9.1 KB

12. Optimization - cost function.mp4

27.1 MB

12. Optimization - cost function.vtt

12.1 KB

13. Simplified feedforward network.mp4

20.4 MB

13. Simplified feedforward network.vtt

9.2 KB

14. Feedforward neural network topology.mp4

15.4 MB

14. Feedforward neural network topology.vtt

6.7 KB

15. The learning algorithm.mp4

13.9 MB

15. The learning algorithm.vtt

6.2 KB

16. Error calculation.mp4

14.4 MB

16. Error calculation.vtt

6.7 KB

17. Gradient calculation I - output layer.mp4

21.3 MB

17. Gradient calculation I - output layer.vtt

9.5 KB

18. Gradient calculation II - hidden layer.mp4

9.6 MB

18. Gradient calculation II - hidden layer.vtt

4.2 KB

19. Backpropagation.mp4

13.3 MB

19. Backpropagation.vtt

5.9 KB

2. Axons and neurons in the human brain.mp4

19.9 MB

2. Axons and neurons in the human brain.vtt

9.6 KB

20. Backpropagation II.mp4

4.9 MB

20. Backpropagation II.vtt

2.1 KB

21. Applications of neural networks I - character recognition.mp4

9.2 MB

21. Applications of neural networks I - character recognition.vtt

4.5 KB

22. Applications of neural networks II - stock market forecast.mp4

10.0 MB

22. Applications of neural networks II - stock market forecast.vtt

4.8 KB

23. Deep learning.mp4

9.9 MB

23. Deep learning.vtt

4.7 KB

3. Modeling human brain.mp4

16.8 MB

3. Modeling human brain.vtt

8.6 KB

4. Learning paradigms.mp4

6.7 MB

4. Learning paradigms.vtt

3.1 KB

5. Artificial neurons - the model.mp4

17.1 MB

5. Artificial neurons - the model.vtt

7.4 KB

6. Artificial neurons - activation functions.mp4

14.7 MB

6. Artificial neurons - activation functions.vtt

6.7 KB

7. Artificial neurons - an example.mp4

11.7 MB

7. Artificial neurons - an example.vtt

4.7 KB

8. Neural networks - the big picture.mp4

11.1 MB

8. Neural networks - the big picture.vtt

5.0 KB

9. Applications of neural networks.mp4

5.4 MB

9. Applications of neural networks.vtt

2.4 KB

/5. Neural Network Implementation/

1. Neural network implementation - representations.mp4

10.6 MB

1. Neural network implementation - representations.vtt

5.0 KB

2. Neural network implementation - helper methods.mp4

8.5 MB

2. Neural network implementation - helper methods.vtt

3.9 KB

3. Neural network implementation - initialize.mp4

15.6 MB

3. Neural network implementation - initialize.vtt

6.0 KB

4. Neural network implementation - feedforward.mp4

14.1 MB

4. Neural network implementation - feedforward.vtt

5.5 KB

5. Neural network implementation - backpropagation.mp4

25.6 MB

5. Neural network implementation - backpropagation.vtt

9.0 KB

6. Neural network implementation - mean squared error.mp4

9.3 MB

6. Neural network implementation - mean squared error.vtt

4.0 KB

7. Neural network implementation - testing.mp4

18.3 MB

7. Neural network implementation - testing.vtt

6.0 KB

/6. Course Materials (DOWNLOADS)/

1. Course material.html

0.2 KB

/7. BONUS/

1. DISCOUNT FOR OTHER COURSES!.html

3.8 KB

/

[CourseClub.Me].url

0.0 KB

[DesireCourse.Net].url

0.1 KB

 

Total files 115


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