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TORRENT DETAILS

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

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	e26b68d7489deeb91f0c502ba9c1eab4d64fe2c7
Size:	826.5 MB in 99 files
Release Date(s):	Torrent Release: 02-08-2019 by user
Swarm:	0 Seeds & 0 Peers
Vote:	No votes yet.

DESCRIPTION

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FILE LIST

Filename		Size
	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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