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Title: UDEMY Algorithmic Problems in Python FTUGroup: NOGRPSource: Udemy
Info Hash
8C0BE3A454C0C48A94E7809BC6DFC9754FE9D82A
Source
Unverified
Total Size
907 MB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
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1. Introduction/1. Introduction.mp411.89 MB
1. Introduction/1. Introduction.vtt2.12 KB
2. Backtracking/1. Backtracking introduction.mp414.41 MB
2. Backtracking/1. Backtracking introduction.vtt6.79 KB
2. Backtracking/10. Knight tour implementation.mp421.08 MB
2. Backtracking/10. Knight tour implementation.vtt9.74 KB
2. Backtracking/11. UPDATE Knight's Tour.html716 B
2. Backtracking/12. Maze problem introduction.mp46.83 MB
2. Backtracking/12. Maze problem introduction.vtt4.08 KB
2. Backtracking/13. Maze problem implementation.mp420.72 MB
2. Backtracking/13. Maze problem implementation.vtt9.05 KB
2. Backtracking/14. NP-complete problems.mp49.01 MB
2. Backtracking/14. NP-complete problems.vtt4.49 KB
2. Backtracking/2. N-queens problem introduction.mp422.6 MB
2. Backtracking/2. N-queens problem introduction.vtt12.12 KB
2. Backtracking/3. N-queens problem implementation.mp429.04 MB
2. Backtracking/3. N-queens problem implementation.vtt14.43 KB
2. Backtracking/4. Hamiltonian cycle introduction.mp421.71 MB
2. Backtracking/4. Hamiltonian cycle introduction.vtt9.89 KB
2. Backtracking/5. Hamiltonian cycle illustration.mp413.19 MB
2. Backtracking/5. Hamiltonian cycle illustration.vtt6.59 KB
2. Backtracking/6. Hamiltonian cycle implementation.mp424.79 MB
2. Backtracking/6. Hamiltonian cycle implementation.vtt11.16 KB
2. Backtracking/7. Coloring problem introduction.mp422.01 MB
2. Backtracking/7. Coloring problem introduction.vtt10.82 KB
2. Backtracking/8. Coloring problem implementation.mp417.49 MB
2. Backtracking/8. Coloring problem implementation.vtt7.89 KB
2. Backtracking/9. Knight tour introduction.mp49.02 MB
2. Backtracking/9. Knight tour introduction.vtt4.37 KB
3. Dynamic Programming/1. Dynamic programming introduction.mp48.58 MB
3. Dynamic Programming/1. Dynamic programming introduction.vtt3.8 KB
3. Dynamic Programming/10. Rod cutting problem introduction.mp412.73 MB
3. Dynamic Programming/10. Rod cutting problem introduction.vtt6.01 KB
3. Dynamic Programming/11. Rod cutting problem example.mp418.95 MB
3. Dynamic Programming/11. Rod cutting problem example.vtt9.29 KB
3. Dynamic Programming/12. Rod cutting problem implementation.mp414.59 MB
3. Dynamic Programming/12. Rod cutting problem implementation.vtt6.69 KB
3. Dynamic Programming/2. Fibonacci numbers introduction.mp413.42 MB
3. Dynamic Programming/2. Fibonacci numbers introduction.vtt6.38 KB
3. Dynamic Programming/3. Fibonacci numbers implementation.mp411.98 MB
3. Dynamic Programming/3. Fibonacci numbers implementation.vtt5.4 KB
3. Dynamic Programming/4. Knapsack problem introduction.mp431.23 MB
3. Dynamic Programming/4. Knapsack problem introduction.vtt13.85 KB
3. Dynamic Programming/5. Knapsack problem example.mp430.08 MB
3. Dynamic Programming/5. Knapsack problem example.vtt13.95 KB
3. Dynamic Programming/6. Knapsack problem implementation.mp418.71 MB
3. Dynamic Programming/6. Knapsack problem implementation.vtt7.88 KB
3. Dynamic Programming/7. Coin change problem introduction.mp422.32 MB
3. Dynamic Programming/7. Coin change problem introduction.vtt10.14 KB
3. Dynamic Programming/8. Coin change problem example.mp413.57 MB
3. Dynamic Programming/8. Coin change problem example.vtt6.56 KB
3. Dynamic Programming/9. Coin change problem implementation.mp417.75 MB
3. Dynamic Programming/9. Coin change problem implementation.vtt8.48 KB
4. Neural Network Theory/1. ---------- NEURAL NETWORKS INTRODUCTION ----------.html35 B
4. Neural Network Theory/10. ---------- BACKPROPAGATION ----------.html42 B
4. Neural Network Theory/11. Feedforward neural networks.mp418.41 MB
4. Neural Network Theory/11. Feedforward neural networks.vtt8.88 KB
4. Neural Network Theory/12. Optimization - cost function.mp425.88 MB
4. Neural Network Theory/12. Optimization - cost function.vtt11.85 KB
4. Neural Network Theory/13. Simplified feedforward network.mp419.41 MB
4. Neural Network Theory/13. Simplified feedforward network.vtt9.03 KB
4. Neural Network Theory/14. Feedforward neural network topology.mp414.73 MB
4. Neural Network Theory/14. Feedforward neural network topology.vtt6.56 KB
4. Neural Network Theory/15. The learning algorithm.mp413.25 MB
4. Neural Network Theory/15. The learning algorithm.vtt6.03 KB
4. Neural Network Theory/16. Error calculation.mp413.73 MB
4. Neural Network Theory/16. Error calculation.vtt6.51 KB
4. Neural Network Theory/17. Gradient calculation I - output layer.mp420.27 MB
4. Neural Network Theory/17. Gradient calculation I - output layer.vtt9.29 KB
4. Neural Network Theory/18. Gradient calculation II - hidden layer.mp49.18 MB
4. Neural Network Theory/18. Gradient calculation II - hidden layer.vtt4.09 KB
4. Neural Network Theory/19. Backpropagation.mp412.66 MB
4. Neural Network Theory/19. Backpropagation.vtt5.72 KB
4. Neural Network Theory/2. Axons and neurons in the human brain.mp419.01 MB
4. Neural Network Theory/2. Axons and neurons in the human brain.vtt9.37 KB
4. Neural Network Theory/20. Backpropagation II.mp44.67 MB
4. Neural Network Theory/20. Backpropagation II.vtt2 KB
4. Neural Network Theory/21. Applications of neural networks I - character recognition.mp48.77 MB
4. Neural Network Theory/21. Applications of neural networks I - character recognition.vtt4.43 KB
4. Neural Network Theory/22. Applications of neural networks II - stock market forecast.mp49.52 MB
4. Neural Network Theory/22. Applications of neural networks II - stock market forecast.vtt4.69 KB
4. Neural Network Theory/23. Deep learning.mp49.46 MB
4. Neural Network Theory/23. Deep learning.vtt4.58 KB
4. Neural Network Theory/3. Modeling human brain.mp416.05 MB
4. Neural Network Theory/3. Modeling human brain.vtt8.36 KB
4. Neural Network Theory/4. Learning paradigms.mp46.4 MB
4. Neural Network Theory/4. Learning paradigms.vtt3.07 KB
4. Neural Network Theory/5. Artificial neurons - the model.mp416.3 MB
4. Neural Network Theory/5. Artificial neurons - the model.vtt7.27 KB
4. Neural Network Theory/6. Artificial neurons - activation functions.mp414.05 MB
4. Neural Network Theory/6. Artificial neurons - activation functions.vtt6.58 KB
4. Neural Network Theory/7. Artificial neurons - an example.mp411.18 MB
4. Neural Network Theory/7. Artificial neurons - an example.vtt4.6 KB
4. Neural Network Theory/8. Neural networks - the big picture.mp410.6 MB

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