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种子名称： [PaidCoursesForFree.com] - Udemy - Artificial Intelligence I Basics and Games in Java
文件类型： 视频
文件数目： 69个文件
文件大小： 1.18 GB
收录时间： 2020-1-29 01:53
已经下载： 3次
资源热度： 224
最近下载： 2024-12-22 10:45

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[PaidCoursesForFree.com] - Udemy - Artificial Intelligence I Basics and Games in Java.torrent

5. Tabu Search/5. Tabu search implementation II.mp478.34MB

1. Introduction/1. Introduction.mp43.55MB

1. Introduction/2. What is AI good for.mp410.32MB

2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.mp43.7MB

2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.mp420.75MB

2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.mp424.43MB

2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.mp422.15MB

2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.mp422.94MB

2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.mp48.36MB

2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.mp48.95MB

2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).mp421.43MB

2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.mp417.25MB

2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.mp415.82MB

2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.mp452.94MB

2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.mp468.21MB

2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.mp46.13MB

3. Basic Search Optimization Algorithms/1. Brute-force search introduction.mp49.24MB

3. Basic Search Optimization Algorithms/2. Brute-force search example.mp417.86MB

3. Basic Search Optimization Algorithms/3. Stochastic search introduction.mp49.28MB

3. Basic Search Optimization Algorithms/4. Stochastic search example.mp415.53MB

3. Basic Search Optimization Algorithms/5. Hill climbing introduction.mp47.38MB

3. Basic Search Optimization Algorithms/6. Hill climbing example.mp415.37MB

4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.mp416.59MB

5. Tabu Search/1. Tabu search introduction - basics.mp427.07MB

5. Tabu Search/2. Tabu search introduction - tabu tenure.mp426.35MB

5. Tabu Search/3. Tabu search illustration.mp419.57MB

5. Tabu Search/4. Tabu search implementation I.mp452.27MB

6. Simulated Annealing/1. Simulated annealing introduction.mp423.67MB

6. Simulated Annealing/2. Simulated annealing - function extremum I.mp47.27MB

6. Simulated Annealing/3. Simulated annealing - function extremum II.mp422.74MB

6. Simulated Annealing/4. Simulated annealing - function extremum III.mp49.36MB

6. Simulated Annealing/5. Travelling salesman problem I - city.mp421.94MB

6. Simulated Annealing/6. Travelling salesman problem II - tour.mp429.88MB

6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.mp423.02MB

6. Simulated Annealing/8. Travelling salesman problem IV - testing.mp49.26MB

7. Genetic Algorithms/1. Genetic algorithms introduction - basics.mp49.89MB

7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.mp45.38MB

7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.mp47.43MB

7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.mp46.92MB

7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.mp47.29MB

7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.mp418.66MB

7. Genetic Algorithms/7. Genetic algorithm implementation II - population.mp411.68MB

7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.mp420.06MB

7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.mp416.06MB

7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.mp424.98MB

8. Particle Swarm Optimization/1. Swarm intelligence intoduction.mp415.46MB

8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.mp418.78MB

8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.mp424.75MB

8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.mp422.18MB

8. Particle Swarm Optimization/5. Particle swarm optimization implementation II - initialize.mp415.2MB

8. Particle Swarm Optimization/6. Particle swarm optimization implementation III - the algorithm.mp424.25MB

8. Particle Swarm Optimization/7. Particle swarm optimization implementation IV - testing.mp410.37MB

9. Minimax Algorithm - Game Engines/1. Game trees introduction.mp49.22MB

9. Minimax Algorithm - Game Engines/2. Minimax algorithm introduction - basics.mp49.79MB

9. Minimax Algorithm - Game Engines/3. Minimax algorithm introduction - the algorithm.mp415.83MB

9. Minimax Algorithm - Game Engines/4. Minimax algorithm introduction - relation with tic-tac-toe.mp49.95MB

9. Minimax Algorithm - Game Engines/5. Alpha-beta pruning introduction.mp412.22MB

9. Minimax Algorithm - Game Engines/6. Alpha-beta pruning example.mp420.34MB

9. Minimax Algorithm - Game Engines/7. Chess problem.mp44.89MB

10. Tic-Tac-Toe Game/1. About the game.mp46.83MB

10. Tic-Tac-Toe Game/2. Cell.mp48.15MB

10. Tic-Tac-Toe Game/3. Constants and Player.mp46.36MB

10. Tic-Tac-Toe Game/4. Game implementation I.mp418.55MB

10. Tic-Tac-Toe Game/5. Game implementation II.mp49.66MB

10. Tic-Tac-Toe Game/6. Board implementation I.mp416.48MB

10. Tic-Tac-Toe Game/7. Board implementationj II - isWinning().mp49.04MB

10. Tic-Tac-Toe Game/8. Board implementation III.mp416.53MB

10. Tic-Tac-Toe Game/9. Minimax algorithm.mp421.28MB

10. Tic-Tac-Toe Game/10. Running tic-tac-toe.mp48.43MB