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[] Udemy - Artificial Intelligence I Basics and Games in Java

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  • 文件大小:1GB
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文件列表

  1. 5. Tabu Search/5. Tabu search implementation II.mp4 78MB
  2. 2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.mp4 68MB
  3. 2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.mp4 53MB
  4. 5. Tabu Search/4. Tabu search implementation I.vtt 52MB
  5. 5. Tabu Search/4. Tabu search implementation I.mp4 52MB
  6. 6. Simulated Annealing/6. Travelling salesman problem II - tour.mp4 30MB
  7. 5. Tabu Search/1. Tabu search introduction - basics.mp4 27MB
  8. 5. Tabu Search/2. Tabu search introduction - tabu tenure.mp4 26MB
  9. 7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.mp4 25MB
  10. 8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.mp4 25MB
  11. 2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.mp4 24MB
  12. 8. Particle Swarm Optimization/6. Particle swarm optimization implementation III - the algorithm.mp4 24MB
  13. 6. Simulated Annealing/1. Simulated annealing introduction.mp4 24MB
  14. 6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.mp4 23MB
  15. 2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.mp4 23MB
  16. 6. Simulated Annealing/3. Simulated annealing - function extremum II.mp4 23MB
  17. 8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.mp4 22MB
  18. 2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.mp4 22MB
  19. 6. Simulated Annealing/5. Travelling salesman problem I - city.mp4 22MB
  20. 2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).mp4 21MB
  21. 10. Tic-Tac-Toe Game/9. Minimax algorithm.mp4 21MB
  22. 2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.mp4 21MB
  23. 9. Minimax Algorithm - Game Engines/6. Alpha-beta pruning example.mp4 20MB
  24. 7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.mp4 20MB
  25. 5. Tabu Search/3. Tabu search illustration.mp4 20MB
  26. 8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.mp4 19MB
  27. 7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.mp4 19MB
  28. 10. Tic-Tac-Toe Game/4. Game implementation I.mp4 19MB
  29. 3. Basic Search Optimization Algorithms/2. Brute-force search example.mp4 18MB
  30. 2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.mp4 17MB
  31. 4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.mp4 17MB
  32. 10. Tic-Tac-Toe Game/8. Board implementation III.mp4 17MB
  33. 10. Tic-Tac-Toe Game/6. Board implementation I.mp4 16MB
  34. 7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.mp4 16MB
  35. 9. Minimax Algorithm - Game Engines/3. Minimax algorithm introduction - the algorithm.mp4 16MB
  36. 2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.mp4 16MB
  37. 3. Basic Search Optimization Algorithms/4. Stochastic search example.mp4 16MB
  38. 8. Particle Swarm Optimization/1. Swarm intelligence intoduction.mp4 15MB
  39. 3. Basic Search Optimization Algorithms/6. Hill climbing example.mp4 15MB
  40. 8. Particle Swarm Optimization/5. Particle swarm optimization implementation II - initialize.mp4 15MB
  41. 9. Minimax Algorithm - Game Engines/5. Alpha-beta pruning introduction.mp4 12MB
  42. 7. Genetic Algorithms/7. Genetic algorithm implementation II - population.mp4 12MB
  43. 8. Particle Swarm Optimization/7. Particle swarm optimization implementation IV - testing.mp4 10MB
  44. 1. Introduction/2. What is AI good for.mp4 10MB
  45. 9. Minimax Algorithm - Game Engines/4. Minimax algorithm introduction - relation with tic-tac-toe.mp4 10MB
  46. 7. Genetic Algorithms/1. Genetic algorithms introduction - basics.mp4 10MB
  47. 9. Minimax Algorithm - Game Engines/2. Minimax algorithm introduction - basics.mp4 10MB
  48. 10. Tic-Tac-Toe Game/5. Game implementation II.mp4 10MB
  49. 11. Course Materials (DOWNLOADS)/1.1 AI_Udemy.zip.zip 9MB
  50. 6. Simulated Annealing/4. Simulated annealing - function extremum III.mp4 9MB
  51. 3. Basic Search Optimization Algorithms/3. Stochastic search introduction.mp4 9MB
  52. 6. Simulated Annealing/8. Travelling salesman problem IV - testing.mp4 9MB
  53. 3. Basic Search Optimization Algorithms/1. Brute-force search introduction.mp4 9MB
  54. 9. Minimax Algorithm - Game Engines/1. Game trees introduction.mp4 9MB
  55. 10. Tic-Tac-Toe Game/7. Board implementationj II - isWinning().mp4 9MB
  56. 2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.mp4 9MB
  57. 10. Tic-Tac-Toe Game/10. Running tic-tac-toe.mp4 8MB
  58. 2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.mp4 8MB
  59. 10. Tic-Tac-Toe Game/2. Cell.mp4 8MB
  60. 7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.mp4 7MB
  61. 3. Basic Search Optimization Algorithms/5. Hill climbing introduction.mp4 7MB
  62. 7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.mp4 7MB
  63. 6. Simulated Annealing/2. Simulated annealing - function extremum I.mp4 7MB
  64. 7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.mp4 7MB
  65. 10. Tic-Tac-Toe Game/1. About the game.mp4 7MB
  66. 10. Tic-Tac-Toe Game/3. Constants and Player.mp4 6MB
  67. 2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.mp4 6MB
  68. 7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.mp4 5MB
  69. 9. Minimax Algorithm - Game Engines/7. Chess problem.mp4 5MB
  70. 2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.mp4 4MB
  71. 1. Introduction/1. Introduction.mp4 4MB
  72. 6. Simulated Annealing/6. Travelling salesman problem II - tour.vtt 13KB
  73. 2. Graph-Search Algorithms (Path Finding Algorithms)/3. Breadt-first search implementation.vtt 12KB
  74. 2. Graph-Search Algorithms (Path Finding Algorithms)/4. Depth-first search introduction.vtt 12KB
  75. 8. Particle Swarm Optimization/3. Particle swarm optimization introduction II - the algorithm.vtt 12KB
  76. 6. Simulated Annealing/1. Simulated annealing introduction.vtt 12KB
  77. 6. Simulated Annealing/3. Simulated annealing - function extremum II.vtt 11KB
  78. 2. Graph-Search Algorithms (Path Finding Algorithms)/2. Breadth-first search introduction.vtt 11KB
  79. 7. Genetic Algorithms/10. Genetic algorithm implementation V - function optimum.vtt 11KB
  80. 8. Particle Swarm Optimization/4. Particle swarm optimization implementation I - particle.vtt 10KB
  81. 2. Graph-Search Algorithms (Path Finding Algorithms)/5. Depth-first search implementation I - with stack.vtt 10KB
  82. 6. Simulated Annealing/7. Travelling salesman problem III - annealing algorithm.vtt 10KB
  83. 6. Simulated Annealing/5. Travelling salesman problem I - city.vtt 10KB
  84. 2. Graph-Search Algorithms (Path Finding Algorithms)/8. Iterative deepening depth-first search (IDDFS).vtt 10KB
  85. 9. Minimax Algorithm - Game Engines/6. Alpha-beta pruning example.vtt 10KB
  86. 5. Tabu Search/5. Tabu search implementation II.vtt 9KB
  87. 8. Particle Swarm Optimization/6. Particle swarm optimization implementation III - the algorithm.vtt 9KB
  88. 2. Graph-Search Algorithms (Path Finding Algorithms)/10. A search illustration.vtt 9KB
  89. 4. Meta-Heuristic Optimization Methods/1. Heuristics VS meta-heuristics.vtt 9KB
  90. 10. Tic-Tac-Toe Game/9. Minimax algorithm.vtt 9KB
  91. 3. Basic Search Optimization Algorithms/2. Brute-force search example.vtt 9KB
  92. 7. Genetic Algorithms/6. Genetic algorithm implementation I - individual.vtt 9KB
  93. 8. Particle Swarm Optimization/2. Particle swarm optimization introduction I - basics.vtt 9KB
  94. 7. Genetic Algorithms/8. Genetic algorithm implementation III - the algorithm.vtt 9KB
  95. 2. Graph-Search Algorithms (Path Finding Algorithms)/9. A search introduction.vtt 8KB
  96. 2. Graph-Search Algorithms (Path Finding Algorithms)/11. A search implementation I.vtt 8KB
  97. 10. Tic-Tac-Toe Game/4. Game implementation I.vtt 8KB
  98. 9. Minimax Algorithm - Game Engines/3. Minimax algorithm introduction - the algorithm.vtt 8KB
  99. 8. Particle Swarm Optimization/1. Swarm intelligence intoduction.vtt 8KB
  100. 3. Basic Search Optimization Algorithms/4. Stochastic search example.vtt 8KB
  101. 2. Graph-Search Algorithms (Path Finding Algorithms)/12. A search implementation II.vtt 8KB
  102. 7. Genetic Algorithms/9. Genetic algorithm implementation IV - testing.vtt 7KB
  103. 3. Basic Search Optimization Algorithms/6. Hill climbing example.vtt 7KB
  104. 10. Tic-Tac-Toe Game/6. Board implementation I.vtt 7KB
  105. 8. Particle Swarm Optimization/5. Particle swarm optimization implementation II - initialize.vtt 6KB
  106. 5. Tabu Search/1. Tabu search introduction - basics.vtt 6KB
  107. 5. Tabu Search/2. Tabu search introduction - tabu tenure.vtt 6KB
  108. 10. Tic-Tac-Toe Game/8. Board implementation III.vtt 6KB
  109. 5. Tabu Search/3. Tabu search illustration.vtt 6KB
  110. 9. Minimax Algorithm - Game Engines/5. Alpha-beta pruning introduction.vtt 6KB
  111. 1. Introduction/2. What is AI good for.vtt 5KB
  112. 10. Tic-Tac-Toe Game/10. Running tic-tac-toe.vtt 5KB
  113. 7. Genetic Algorithms/7. Genetic algorithm implementation II - population.vtt 5KB
  114. 9. Minimax Algorithm - Game Engines/4. Minimax algorithm introduction - relation with tic-tac-toe.vtt 5KB
  115. 7. Genetic Algorithms/1. Genetic algorithms introduction - basics.vtt 5KB
  116. 3. Basic Search Optimization Algorithms/1. Brute-force search introduction.vtt 5KB
  117. 3. Basic Search Optimization Algorithms/3. Stochastic search introduction.vtt 5KB
  118. 12. DISCOUNT FOR OTHER COURSES!/1. 90% OFF For Other Courses.html 5KB
  119. 6. Simulated Annealing/8. Travelling salesman problem IV - testing.vtt 5KB
  120. 6. Simulated Annealing/4. Simulated annealing - function extremum III.vtt 5KB
  121. 8. Particle Swarm Optimization/7. Particle swarm optimization implementation IV - testing.vtt 5KB
  122. 9. Minimax Algorithm - Game Engines/2. Minimax algorithm introduction - basics.vtt 5KB
  123. 9. Minimax Algorithm - Game Engines/1. Game trees introduction.vtt 5KB
  124. 2. Graph-Search Algorithms (Path Finding Algorithms)/7. Enhanced search algorithms introduction.vtt 5KB
  125. 2. Graph-Search Algorithms (Path Finding Algorithms)/6. Depth-first search implementation II - with recursion.vtt 4KB
  126. 3. Basic Search Optimization Algorithms/5. Hill climbing introduction.vtt 4KB
  127. 7. Genetic Algorithms/3. Genetic algorithms introduction - crossover.vtt 4KB
  128. 7. Genetic Algorithms/5. Genetic algorithms introduction - the algorithm.vtt 4KB
  129. 10. Tic-Tac-Toe Game/2. Cell.vtt 4KB
  130. 10. Tic-Tac-Toe Game/5. Game implementation II.vtt 4KB
  131. 6. Simulated Annealing/2. Simulated annealing - function extremum I.vtt 4KB
  132. 10. Tic-Tac-Toe Game/7. Board implementationj II - isWinning().vtt 4KB
  133. 7. Genetic Algorithms/4. Genetic algorithms introduction - mutation.vtt 3KB
  134. 10. Tic-Tac-Toe Game/1. About the game.vtt 3KB
  135. 10. Tic-Tac-Toe Game/3. Constants and Player.vtt 3KB
  136. 7. Genetic Algorithms/2. Genetic algorithms introduction - chromosomes.vtt 3KB
  137. 2. Graph-Search Algorithms (Path Finding Algorithms)/13. Path finding algorithms comparison.vtt 3KB
  138. 9. Minimax Algorithm - Game Engines/7. Chess problem.vtt 2KB
  139. 1. Introduction/1. Introduction.vtt 2KB
  140. 2. Graph-Search Algorithms (Path Finding Algorithms)/1. Why to consider graph algorithms.vtt 2KB
  141. [Tutorialsplanet.NET].url 128B
  142. 11. Course Materials (DOWNLOADS)/1. Course materials.html 60B