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

• [DesireCourse.Net] Udemy - Algorithmic Problems & Neural Networks in Python
• 1. Introduction/1. Introduction.mp4 4.2 MB
• 1. Introduction/1. Introduction.vtt 2.1 KB
• 2. Backtracking/1. Backtracking introduction.mp4 14.4 MB
• 2. Backtracking/1. Backtracking introduction.vtt 6.8 KB
• 2. Backtracking/10. Knight tour implementation.mp4 21.1 MB
• 2. Backtracking/10. Knight tour implementation.vtt 9.7 KB
• 2. Backtracking/11. UPDATE Knight's Tour.html 716 B
• 2. Backtracking/12. Maze problem introduction.mp4 6.8 MB
• 2. Backtracking/12. Maze problem introduction.vtt 4.1 KB
• 2. Backtracking/13. Maze problem implementation.mp4 20.7 MB
• 2. Backtracking/13. Maze problem implementation.vtt 9 KB
• 2. Backtracking/14. NP-complete problems.mp4 9 MB
• 2. Backtracking/14. NP-complete problems.vtt 4.5 KB
• 2. Backtracking/2. N-queens problem introduction.mp4 22.6 MB
• 2. Backtracking/2. N-queens problem introduction.vtt 12.1 KB
• 2. Backtracking/3. N-queens problem implementation.mp4 29 MB
• 2. Backtracking/3. N-queens problem implementation.vtt 14.4 KB
• 2. Backtracking/4. Hamiltonian cycle introduction.mp4 21.7 MB
• 2. Backtracking/4. Hamiltonian cycle introduction.vtt 9.9 KB
• 2. Backtracking/5. Hamiltonian cycle illustration.mp4 13.2 MB
• 2. Backtracking/5. Hamiltonian cycle illustration.vtt 6.6 KB
• 2. Backtracking/6. Hamiltonian cycle implementation.mp4 24.8 MB
• 2. Backtracking/6. Hamiltonian cycle implementation.vtt 11.2 KB
• 2. Backtracking/7. Coloring problem introduction.mp4 22 MB
• 2. Backtracking/7. Coloring problem introduction.vtt 10.8 KB
• 2. Backtracking/8. Coloring problem implementation.mp4 17.5 MB
• 2. Backtracking/8. Coloring problem implementation.vtt 7.9 KB
• 2. Backtracking/9. Knight tour introduction.mp4 9 MB
• 2. Backtracking/9. Knight tour introduction.vtt 4.4 KB
• 3. Dynamic Programming/1. Dynamic programming introduction.mp4 8.6 MB
• 3. Dynamic Programming/1. Dynamic programming introduction.vtt 3.8 KB
• 3. Dynamic Programming/10. Rod cutting problem introduction.mp4 12.7 MB
• 3. Dynamic Programming/10. Rod cutting problem introduction.vtt 6 KB
• 3. Dynamic Programming/11. Rod cutting problem example.mp4 18.9 MB
• 3. Dynamic Programming/11. Rod cutting problem example.vtt 9.3 KB
• 3. Dynamic Programming/12. Rod cutting problem implementation.mp4 14.6 MB
• 3. Dynamic Programming/12. Rod cutting problem implementation.vtt 6.7 KB
• 3. Dynamic Programming/2. Fibonacci numbers introduction.mp4 13.4 MB
• 3. Dynamic Programming/2. Fibonacci numbers introduction.vtt 6.4 KB
• 3. Dynamic Programming/3. Fibonacci numbers implementation.mp4 12 MB
• 3. Dynamic Programming/3. Fibonacci numbers implementation.vtt 5.4 KB
• 3. Dynamic Programming/4. Knapsack problem introduction.mp4 31.2 MB
• 3. Dynamic Programming/4. Knapsack problem introduction.vtt 13.9 KB
• 3. Dynamic Programming/5. Knapsack problem example.mp4 30.1 MB
• 3. Dynamic Programming/5. Knapsack problem example.vtt 13.9 KB
• 3. Dynamic Programming/6. Knapsack problem implementation.mp4 18.7 MB
• 3. Dynamic Programming/6. Knapsack problem implementation.vtt 7.9 KB
• 3. Dynamic Programming/7. Coin change problem introduction.mp4 22.3 MB
• 3. Dynamic Programming/7. Coin change problem introduction.vtt 10.1 KB
• 3. Dynamic Programming/8. Coin change problem example.mp4 13.6 MB
• 3. Dynamic Programming/8. Coin change problem example.vtt 6.6 KB
• 3. Dynamic Programming/9. Coin change problem implementation.mp4 17.7 MB
• 3. Dynamic Programming/9. Coin change problem implementation.vtt 8.5 KB
• 4. Neural Network Theory/1. ---------- NEURAL NETWORKS INTRODUCTION ----------.html 35 B
• 4. Neural Network Theory/10. ---------- BACKPROPAGATION ----------.html 42 B
• 4. Neural Network Theory/11. Feedforward neural networks.mp4 18.4 MB
• 4. Neural Network Theory/11. Feedforward neural networks.vtt 8.9 KB
• 4. Neural Network Theory/12. Optimization - cost function.mp4 25.9 MB
• 4. Neural Network Theory/12. Optimization - cost function.vtt 11.9 KB
• 4. Neural Network Theory/13. Simplified feedforward network.mp4 19.4 MB
• 4. Neural Network Theory/13. Simplified feedforward network.vtt 9 KB
• 4. Neural Network Theory/14. Feedforward neural network topology.mp4 14.7 MB
• 4. Neural Network Theory/14. Feedforward neural network topology.vtt 6.6 KB
• 4. Neural Network Theory/15. The learning algorithm.mp4 13.3 MB
• 4. Neural Network Theory/15. The learning algorithm.vtt 6 KB
• 4. Neural Network Theory/16. Error calculation.mp4 13.7 MB
• 4. Neural Network Theory/16. Error calculation.vtt 6.5 KB
• 4. Neural Network Theory/17. Gradient calculation I - output layer.mp4 20.3 MB
• 4. Neural Network Theory/17. Gradient calculation I - output layer.vtt 9.3 KB
• 4. Neural Network Theory/18. Gradient calculation II - hidden layer.mp4 9.2 MB
• 4. Neural Network Theory/18. Gradient calculation II - hidden layer.vtt 4.1 KB
• 4. Neural Network Theory/19. Backpropagation.mp4 12.7 MB
• 4. Neural Network Theory/19. Backpropagation.vtt 5.7 KB
• 4. Neural Network Theory/2. Axons and neurons in the human brain.mp4 19 MB
• 4. Neural Network Theory/2. Axons and neurons in the human brain.vtt 9.4 KB
• 4. Neural Network Theory/20. Backpropagation II.mp4 4.7 MB
• 4. Neural Network Theory/20. Backpropagation II.vtt 2 KB
• 4. Neural Network Theory/21. Applications of neural networks I - character recognition.mp4 8.8 MB
• 4. Neural Network Theory/21. Applications of neural networks I - character recognition.vtt 4.4 KB
• 4. Neural Network Theory/22. Applications of neural networks II - stock market forecast.mp4 9.5 MB
• 4. Neural Network Theory/22. Applications of neural networks II - stock market forecast.vtt 4.7 KB
• 4. Neural Network Theory/23. Deep learning.mp4 9.5 MB
• 4. Neural Network Theory/23. Deep learning.vtt 4.6 KB
• 4. Neural Network Theory/3. Modeling human brain.mp4 16 MB
• 4. Neural Network Theory/3. Modeling human brain.vtt 8.4 KB
• 4. Neural Network Theory/4. Learning paradigms.mp4 6.4 MB
• 4. Neural Network Theory/4. Learning paradigms.vtt 3.1 KB
• 4. Neural Network Theory/5. Artificial neurons - the model.mp4 16.3 MB
• 4. Neural Network Theory/5. Artificial neurons - the model.vtt 7.3 KB
• 4. Neural Network Theory/6. Artificial neurons - activation functions.mp4 14 MB
• 4. Neural Network Theory/6. Artificial neurons - activation functions.vtt 6.6 KB
• 4. Neural Network Theory/7. Artificial neurons - an example.mp4 11.2 MB
• 4. Neural Network Theory/7. Artificial neurons - an example.vtt 4.6 KB
• 4. Neural Network Theory/8. Neural networks - the big picture.mp4 10.6 MB
• 4. Neural Network Theory/8. Neural networks - the big picture.vtt 4.9 KB
• 4. Neural Network Theory/9. Applications of neural networks.mp4 5.2 MB
• 4. Neural Network Theory/9. Applications of neural networks.vtt 2.4 KB
• 5. Neural Network Implementation/1. Neural network implementation - representations.mp4 10.1 MB
• 5. Neural Network Implementation/1. Neural network implementation - representations.vtt 4.9 KB

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