种子简介
种子名称:
[Tutorialsplanet.NET] 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:
2020-10-26 04:12
已经下载:
3次
资源热度:
248
最近下载:
2024-12-28 08:36
下载BT种子文件
下载Torrent文件(.torrent)
立即下载
磁力链接下载
magnet:?xt=urn:btih:02ffdd0288b7ac36d13d43cf513f78951fd5e71b&dn=[Tutorialsplanet.NET] Udemy - Artificial Intelligence I Basics and Games in Java
复制链接到迅雷、QQ旋风进行下载,或者使用百度云离线下载。
喜欢这个种子的人也喜欢
种子包含的文件
[Tutorialsplanet.NET] Udemy - Artificial Intelligence I Basics and Games in Java.torrent
1. Introduction/1. Introduction.mp43.55MB
1. Introduction/2. What is AI good for.mp410.32MB
10. Tic-Tac-Toe Game/1. About the game.mp46.83MB
10. Tic-Tac-Toe Game/10. Running tic-tac-toe.mp48.43MB
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
2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.mp43.7MB
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
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
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
5. Tabu Search/5. Tabu search implementation II.mp478.34MB
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/10. Genetic algorithm implementation V - function optimum.mp424.98MB
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
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