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[FreeTutorials.Us] artificial-intelligence-games-in-java

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种子名称: [FreeTutorials.Us] artificial-intelligence-games-in-java
文件类型: 视频
文件数目: 61个文件
文件大小: 1.04 GB
收录时间: 2020-6-13 12:15
已经下载: 3
资源热度: 102
最近下载: 2024-10-26 22:43

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[FreeTutorials.Us] artificial-intelligence-games-in-java.torrent
  • 01-introduction/001-introduction.mp44.89MB
  • 01-introduction/002-what-is-ai-good-for.mp413.87MB
  • 02-graphsearch-algorithms/004-why-to-consider-graph-algorithms.mp43.7MB
  • 02-graphsearch-algorithms/005-breadthfirst-search-introduction.mp427.37MB
  • 02-graphsearch-algorithms/006-breadtfirst-search-implementation.mp428.37MB
  • 02-graphsearch-algorithms/007-depthfirst-search-introduction.mp429.09MB
  • 02-graphsearch-algorithms/008-depthfirst-search-implementation-i-with-stack.mp422.94MB
  • 02-graphsearch-algorithms/009-depthfirst-search-implementation-ii-with-recursion.mp410.14MB
  • 02-graphsearch-algorithms/010-enhanced-search-algorithms-introduction.mp48.94MB
  • 02-graphsearch-algorithms/011-iterative-deepening-depthfirst-search-iddfs.mp421.42MB
  • 02-graphsearch-algorithms/012-a-search-introduction.mp417.24MB
  • 03-basic-search-optimization-algorithms/013-bruteforce-search-introduction.mp412.23MB
  • 03-basic-search-optimization-algorithms/014-bruteforce-search-example.mp421.08MB
  • 03-basic-search-optimization-algorithms/015-stochastic-search-introduction.mp412.07MB
  • 03-basic-search-optimization-algorithms/016-stochastic-search-example.mp418.76MB
  • 03-basic-search-optimization-algorithms/017-hill-climbing-introduction.mp49.6MB
  • 03-basic-search-optimization-algorithms/018-hill-climbing-example.mp418.64MB
  • 04-metaheuristic-optimization-methods/019-heuristics-vs-metaheuristics.mp421.87MB
  • 04-metaheuristic-optimization-methods/020-tabu-search-introduction.mp431.36MB
  • 04-metaheuristic-optimization-methods/022-simulated-annealing-introduction.mp431.37MB
  • 04-metaheuristic-optimization-methods/023-simulated-annealing-function-extremum-i.mp48.78MB
  • 04-metaheuristic-optimization-methods/024-simulated-annealing-function-extremum-ii.mp428.64MB
  • 04-metaheuristic-optimization-methods/025-simulated-annealing-function-extremum-iii.mp411.69MB
  • 04-metaheuristic-optimization-methods/026-travelling-salesman-problem-i-city.mp425.24MB
  • 04-metaheuristic-optimization-methods/027-travelling-salesman-problem-ii-tour.mp435.08MB
  • 04-metaheuristic-optimization-methods/028-travelling-salesman-problem-iii-annealing-algorithm.mp428.01MB
  • 04-metaheuristic-optimization-methods/029-travelling-salesman-problem-iv-testing.mp411.52MB
  • 04-metaheuristic-optimization-methods/031-genetic-algorithms-introduction-basics.mp413.22MB
  • 04-metaheuristic-optimization-methods/032-genetic-algorithms-introduction-chromosomes.mp47.01MB
  • 04-metaheuristic-optimization-methods/033-genetic-algorithms-introduction-crossover.mp49.75MB
  • 04-metaheuristic-optimization-methods/034-genetic-algorithms-introduction-mutation.mp49.03MB
  • 04-metaheuristic-optimization-methods/035-genetic-algorithms-introduction-the-algorithm.mp49.66MB
  • 04-metaheuristic-optimization-methods/036-genetic-algorithm-implementation-i-individual.mp422.92MB
  • 04-metaheuristic-optimization-methods/037-genetic-algorithm-implementation-ii-population.mp414.58MB
  • 04-metaheuristic-optimization-methods/038-genetic-algorithm-implementation-iii-the-algorithm.mp425.51MB
  • 04-metaheuristic-optimization-methods/039-genetic-algorithm-implementation-iv-testing.mp420.31MB
  • 04-metaheuristic-optimization-methods/040-genetic-algorithm-implementation-v-function-optimum.mp430.06MB
  • 04-metaheuristic-optimization-methods/042-swarm-intelligence-intoduction.mp418.58MB
  • 04-metaheuristic-optimization-methods/043-partical-swarm-optimization-introduction-i-basics.mp423.49MB
  • 04-metaheuristic-optimization-methods/044-partical-swarm-optimization-introduction-ii-the-algorithm.mp432.87MB
  • 04-metaheuristic-optimization-methods/045-particle-swarm-optimization-implementation-i-particle.mp428.38MB
  • 04-metaheuristic-optimization-methods/046-particle-swarm-optimization-implementation-ii-initialize.mp419.62MB
  • 04-metaheuristic-optimization-methods/047-particle-swarm-optimization-implementation-iii-the-algorithm.mp431.91MB
  • 04-metaheuristic-optimization-methods/048-particle-swarm-optimization-implementation-iv-testing.mp413.93MB
  • 05-minimax-algorithm-game-engines/049-game-trees-introduction.mp411.9MB
  • 05-minimax-algorithm-game-engines/050-minimax-algorithm-introduction-basics.mp412.81MB
  • 05-minimax-algorithm-game-engines/051-minimax-algorithm-introduction-the-algorithm.mp420.01MB
  • 05-minimax-algorithm-game-engines/052-minimax-algorithm-introduction-relation-with-tictactoe.mp412.73MB
  • 05-minimax-algorithm-game-engines/053-alphabeta-pruning-introduction.mp412.21MB
  • 05-minimax-algorithm-game-engines/054-alphabeta-pruning-example.mp420.33MB
  • 05-minimax-algorithm-game-engines/055-chess-problem.mp46.4MB
  • 06-tictactoe-game/056-about-the-game.mp46.82MB
  • 06-tictactoe-game/057-cell.mp48.14MB
  • 06-tictactoe-game/058-constants-and-player.mp46.36MB
  • 06-tictactoe-game/059-game-implementation-i.mp418.54MB
  • 06-tictactoe-game/060-game-implementation-ii.mp49.65MB
  • 06-tictactoe-game/061-board-implementation-i.mp416.47MB
  • 06-tictactoe-game/062-board-implementationj-ii-iswinning.mp49.03MB
  • 06-tictactoe-game/063-board-implementation-iii.mp416.52MB
  • 06-tictactoe-game/064-minimax-algorithm.mp421.28MB
  • 06-tictactoe-game/065-running-tictactoe.mp49.76MB