Learn To Create Artificially Intelligent Games Using Python3

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Learn  Create  Artificially  Intelligent  Games  Using  Python3  
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Files
  1. 01 - Introduction/001 Introduction.mp4 33.76MB
  2. 01 - Introduction/001 Introduction_en.vtt 1.64KB
  3. 02 - Setup Anaconda and Install Dependencies for Project/003 Install DependenciesLibraries for the Course.mp4 83.35MB
  4. 02 - Setup Anaconda and Install Dependencies for Project/001 Install Anaconda.mp4 64.52MB
  5. 02 - Setup Anaconda and Install Dependencies for Project/004 Download Visual Studio Code.mp4 41.18MB
  6. 02 - Setup Anaconda and Install Dependencies for Project/002 Create Virtual Environment.mp4 39.60MB
  7. 02 - Setup Anaconda and Install Dependencies for Project/004 Download Visual Studio Code_en.vtt 8.71KB
  8. 02 - Setup Anaconda and Install Dependencies for Project/003 Install DependenciesLibraries for the Course_en.vtt 8.26KB
  9. 02 - Setup Anaconda and Install Dependencies for Project/001 Install Anaconda_en.vtt 6.75KB
  10. 02 - Setup Anaconda and Install Dependencies for Project/002 Create Virtual Environment_en.vtt 5.58KB
  11. 03 - Python Essentials/013 Logical statements.mp4 169.55MB
  12. 03 - Python Essentials/033 Multiple Inheritance.mp4 159.40MB
  13. 03 - Python Essentials/032 What is Inheritance.mp4 140.83MB
  14. 03 - Python Essentials/003 Basic Arithmetic in Python.mp4 140.19MB
  15. 03 - Python Essentials/031 Constructor in Python.mp4 122.02MB
  16. 03 - Python Essentials/006 Access elements of String.mp4 112.72MB
  17. 03 - Python Essentials/030 Class and Objects Continued.mp4 102.61MB
  18. 03 - Python Essentials/023 Important List Comprehension for Game Development.mp4 96.33MB
  19. 03 - Python Essentials/022 For loop.mp4 93.06MB
  20. 03 - Python Essentials/015 if else statements.mp4 88.99MB
  21. 03 - Python Essentials/025 Learn to create Functions.mp4 79.25MB
  22. 03 - Python Essentials/004 Operations on Numbers.mp4 76.54MB
  23. 03 - Python Essentials/020 Infinite while loop (Game Loop).mp4 72.64MB
  24. 03 - Python Essentials/018 How to access the items from the list.mp4 70.66MB
  25. 03 - Python Essentials/029 Class and Objects.mp4 63.81MB
  26. 03 - Python Essentials/017 Checking type of Data Structures.mp4 61.69MB
  27. 03 - Python Essentials/007 Formatting strings.mp4 60.89MB
  28. 03 - Python Essentials/009 Create Variables in Python.mp4 59.90MB
  29. 03 - Python Essentials/026 Learn about return statements.mp4 58.29MB
  30. 03 - Python Essentials/011 Learn to create conditions.mp4 48.22MB
  31. 03 - Python Essentials/027 Introduction to the section.mp4 41.45MB
  32. 03 - Python Essentials/028 What is Object Oriented Programming.mp4 37.98MB
  33. 03 - Python Essentials/021 Finite Game Loop.mp4 36.34MB
  34. 03 - Python Essentials/016 Introduction to Data Structures.mp4 34.75MB
  35. 03 - Python Essentials/005 Introduction to Strings in Python.mp4 26.49MB
  36. 03 - Python Essentials/002 Introduction to the data types.mp4 25.10MB
  37. 03 - Python Essentials/001 What is Python.mp4 22.56MB
  38. 03 - Python Essentials/010 Introduction to Booleans in Python.mp4 19.75MB
  39. 03 - Python Essentials/014 Introduction to conditional statements.mp4 17.42MB
  40. 03 - Python Essentials/008 Introduction to the variables.mp4 14.17MB
  41. 03 - Python Essentials/012 is operator in Python.mp4 13.70MB
  42. 03 - Python Essentials/024 What is Function and Why we need it.mp4 12.20MB
  43. 03 - Python Essentials/019 Introduction to the loops in Python.mp4 11.54MB
  44. 03 - Python Essentials/003 Basic Arithmetic in Python_en.vtt 24.28KB
  45. 03 - Python Essentials/013 Logical statements_en.vtt 22.67KB
  46. 03 - Python Essentials/023 Important List Comprehension for Game Development_en.vtt 18.89KB
  47. 03 - Python Essentials/033 Multiple Inheritance_en.vtt 18.45KB
  48. 03 - Python Essentials/022 For loop_en.vtt 17.02KB
  49. 03 - Python Essentials/020 Infinite while loop (Game Loop)_en.vtt 14.42KB
  50. 03 - Python Essentials/004 Operations on Numbers_en.vtt 14.23KB
  51. 03 - Python Essentials/032 What is Inheritance_en.vtt 14.18KB
  52. 03 - Python Essentials/031 Constructor in Python_en.vtt 13.62KB
  53. 03 - Python Essentials/030 Class and Objects Continued_en.vtt 13.52KB
  54. 03 - Python Essentials/007 Formatting strings_en.vtt 13.31KB
  55. 03 - Python Essentials/025 Learn to create Functions_en.vtt 12.15KB
  56. 03 - Python Essentials/006 Access elements of String_en.vtt 11.77KB
  57. 03 - Python Essentials/018 How to access the items from the list_en.vtt 10.98KB
  58. 03 - Python Essentials/009 Create Variables in Python_en.vtt 10.85KB
  59. 03 - Python Essentials/015 if else statements_en.vtt 10.71KB
  60. 03 - Python Essentials/017 Checking type of Data Structures_en.vtt 10.04KB
  61. 03 - Python Essentials/029 Class and Objects_en.vtt 9.30KB
  62. 03 - Python Essentials/026 Learn about return statements_en.vtt 8.89KB
  63. 03 - Python Essentials/011 Learn to create conditions_en.vtt 6.80KB
  64. 03 - Python Essentials/021 Finite Game Loop_en.vtt 6.30KB
  65. 03 - Python Essentials/005 Introduction to Strings in Python_en.vtt 4.88KB
  66. 03 - Python Essentials/028 What is Object Oriented Programming_en.vtt 4.78KB
  67. 03 - Python Essentials/027 Introduction to the section_en.vtt 3.10KB
  68. 03 - Python Essentials/012 is operator in Python_en.vtt 2.88KB
  69. 03 - Python Essentials/016 Introduction to Data Structures_en.vtt 2.72KB
  70. 03 - Python Essentials/001 What is Python_en.vtt 2.00KB
  71. 03 - Python Essentials/002 Introduction to the data types_en.vtt 1.39KB
  72. 03 - Python Essentials/010 Introduction to Booleans in Python_en.vtt 1.34KB
  73. 03 - Python Essentials/008 Introduction to the variables_en.vtt 992B
  74. 03 - Python Essentials/014 Introduction to conditional statements_en.vtt 935B
  75. 03 - Python Essentials/024 What is Function and Why we need it_en.vtt 870B
  76. 03 - Python Essentials/019 Introduction to the loops in Python_en.vtt 679B
  77. 04 - Pygame Refresher/002 Pygame coordinate System.mp4 131.61MB
  78. 04 - Pygame Refresher/003 Introduction to Pygame shape.mp4 92.81MB
  79. 04 - Pygame Refresher/006 Fundamentals of Pygame -- skeleton code.mp4 88.89MB
  80. 04 - Pygame Refresher/004 Draw shapes using Pygame.mp4 82.94MB
  81. 04 - Pygame Refresher/010 Make movement within Boundary.mp4 78.69MB
  82. 04 - Pygame Refresher/005 Color Picker.mp4 69.83MB
  83. 04 - Pygame Refresher/001 Introduction to the pygame.mp4 51.32MB
  84. 04 - Pygame Refresher/008 Movement of the shapes.mp4 50.23MB
  85. 04 - Pygame Refresher/007 Render a rectangle in the Screen.mp4 49.72MB
  86. 04 - Pygame Refresher/009 Smoothen the movement using FPS.mp4 38.35MB
  87. 04 - Pygame Refresher/002 Pygame coordinate System_en.vtt 20.21KB
  88. 04 - Pygame Refresher/010 Make movement within Boundary_en.vtt 13.54KB
  89. 04 - Pygame Refresher/006 Fundamentals of Pygame -- skeleton code_en.vtt 12.42KB
  90. 04 - Pygame Refresher/004 Draw shapes using Pygame_en.vtt 10.32KB
  91. 04 - Pygame Refresher/008 Movement of the shapes_en.vtt 8.09KB
  92. 04 - Pygame Refresher/007 Render a rectangle in the Screen_en.vtt 7.39KB
  93. 04 - Pygame Refresher/003 Introduction to Pygame shape_en.vtt 7.19KB
  94. 04 - Pygame Refresher/005 Color Picker_en.vtt 6.97KB
  95. 04 - Pygame Refresher/009 Smoothen the movement using FPS_en.vtt 6.34KB
  96. 04 - Pygame Refresher/001 Introduction to the pygame_en.vtt 6.30KB
  97. 05 - Introduction to MinMax Algorithm/006 Example of Heuristic.mp4 67.94MB
  98. 05 - Introduction to MinMax Algorithm/008 Example of MinMax.mp4 64.70MB
  99. 05 - Introduction to MinMax Algorithm/007 Introduction to MinMax algorithm.mp4 60.27MB
  100. 05 - Introduction to MinMax Algorithm/001 Introduction to Board Games.mp4 57.06MB
  101. 05 - Introduction to MinMax Algorithm/004 Solution of Lookahead problem.mp4 53.28MB
  102. 05 - Introduction to MinMax Algorithm/002 Tree representation of Game.mp4 46.19MB
  103. 05 - Introduction to MinMax Algorithm/009 MinMax Example for TicTacToe.mp4 40.56MB
  104. 05 - Introduction to MinMax Algorithm/005 Heuristic Evaluation of Board.mp4 36.93MB
  105. 05 - Introduction to MinMax Algorithm/003 Lookahead Problem.mp4 30.25MB
  106. 05 - Introduction to MinMax Algorithm/010 MinMax Algorithm.mp4 8.63MB
  107. 05 - Introduction to MinMax Algorithm/007 Introduction to MinMax algorithm_en.vtt 17.29KB
  108. 05 - Introduction to MinMax Algorithm/006 Example of Heuristic_en.vtt 14.66KB
  109. 05 - Introduction to MinMax Algorithm/008 Example of MinMax_en.vtt 14.34KB
  110. 05 - Introduction to MinMax Algorithm/001 Introduction to Board Games_en.vtt 14.17KB
  111. 05 - Introduction to MinMax Algorithm/004 Solution of Lookahead problem_en.vtt 11.54KB
  112. 05 - Introduction to MinMax Algorithm/002 Tree representation of Game_en.vtt 10.25KB
  113. 05 - Introduction to MinMax Algorithm/009 MinMax Example for TicTacToe_en.vtt 9.46KB
  114. 05 - Introduction to MinMax Algorithm/005 Heuristic Evaluation of Board_en.vtt 8.83KB
  115. 05 - Introduction to MinMax Algorithm/003 Lookahead Problem_en.vtt 8.16KB
  116. 05 - Introduction to MinMax Algorithm/010 MinMax Algorithm_en.vtt 2.09KB
  117. 06 - Creating TicTacToe using MinMax algorithm/006 Implementing MinMax algorithm.mp4 113.11MB
  118. 06 - Creating TicTacToe using MinMax algorithm/008 Playing against AI player and Tuning algorithm.mp4 95.75MB
  119. 06 - Creating TicTacToe using MinMax algorithm/005 Calculating ValueHeuristic for Min Max player.mp4 72.28MB
  120. 06 - Creating TicTacToe using MinMax algorithm/002 Introduction to Project Files.mp4 67.17MB
  121. 06 - Creating TicTacToe using MinMax algorithm/003 Creating Indecisive Player (Random).mp4 59.48MB
  122. 06 - Creating TicTacToe using MinMax algorithm/007 Setting up Autoplayer (Artificial Intelligent Player).mp4 53.02MB
  123. 06 - Creating TicTacToe using MinMax algorithm/004 Implementing MinMax.mp4 47.69MB
  124. 06 - Creating TicTacToe using MinMax algorithm/001 introduction to Game.mp4 44.48MB
  125. 06 - Creating TicTacToe using MinMax algorithm/006 Implementing MinMax algorithm_en.vtt 19.30KB
  126. 06 - Creating TicTacToe using MinMax algorithm/008 Playing against AI player and Tuning algorithm_en.vtt 12.39KB
  127. 06 - Creating TicTacToe using MinMax algorithm/003 Creating Indecisive Player (Random)_en.vtt 12.23KB
  128. 06 - Creating TicTacToe using MinMax algorithm/005 Calculating ValueHeuristic for Min Max player_en.vtt 11.22KB
  129. 06 - Creating TicTacToe using MinMax algorithm/002 Introduction to Project Files_en.vtt 10.51KB
  130. 06 - Creating TicTacToe using MinMax algorithm/004 Implementing MinMax_en.vtt 8.47KB
  131. 06 - Creating TicTacToe using MinMax algorithm/001 introduction to Game_en.vtt 7.79KB
  132. 06 - Creating TicTacToe using MinMax algorithm/007 Setting up Autoplayer (Artificial Intelligent Player)_en.vtt 7.33KB
  133. 07 - Introduction to Artificial Intelligence/009 Value of the State.mp4 55.55MB
  134. 07 - Introduction to Artificial Intelligence/002 Reinforcement Learning.mp4 48.98MB
  135. 07 - Introduction to Artificial Intelligence/001 Motivation for Artificial Intelligence.mp4 21.60MB
  136. 07 - Introduction to Artificial Intelligence/007 Policy.mp4 18.97MB
  137. 07 - Introduction to Artificial Intelligence/010 Model.mp4 18.19MB
  138. 07 - Introduction to Artificial Intelligence/006 Typical RL scenario.mp4 17.51MB
  139. 07 - Introduction to Artificial Intelligence/004 Rewards.mp4 13.26MB
  140. 07 - Introduction to Artificial Intelligence/003 Environment.mp4 11.43MB
  141. 07 - Introduction to Artificial Intelligence/005 Path.mp4 5.42MB
  142. 07 - Introduction to Artificial Intelligence/008 Rewards.mp4 5.31MB
  143. 07 - Introduction to Artificial Intelligence/009 Value of the State_en.vtt 8.17KB
  144. 07 - Introduction to Artificial Intelligence/010 Model_en.vtt 4.89KB
  145. 07 - Introduction to Artificial Intelligence/006 Typical RL scenario_en.vtt 3.95KB
  146. 07 - Introduction to Artificial Intelligence/007 Policy_en.vtt 3.47KB
  147. 07 - Introduction to Artificial Intelligence/001 Motivation for Artificial Intelligence_en.vtt 2.97KB
  148. 07 - Introduction to Artificial Intelligence/004 Rewards_en.vtt 2.71KB
  149. 07 - Introduction to Artificial Intelligence/002 Reinforcement Learning_en.vtt 2.70KB
  150. 07 - Introduction to Artificial Intelligence/003 Environment_en.vtt 2.64KB
  151. 07 - Introduction to Artificial Intelligence/005 Path_en.vtt 1.17KB
  152. 07 - Introduction to Artificial Intelligence/008 Rewards_en.vtt 912B
  153. 08 - Key Terms of Artificial Intelligence (Important)/003 Markov Decision Process.mp4 72.99MB
  154. 08 - Key Terms of Artificial Intelligence (Important)/001 Markov Property and Markov Chain.mp4 39.16MB
  155. 08 - Key Terms of Artificial Intelligence (Important)/002 Markov Reward Process.mp4 28.75MB
  156. 08 - Key Terms of Artificial Intelligence (Important)/003 Markov Decision Process_en.vtt 10.45KB
  157. 08 - Key Terms of Artificial Intelligence (Important)/001 Markov Property and Markov Chain_en.vtt 8.25KB
  158. 08 - Key Terms of Artificial Intelligence (Important)/002 Markov Reward Process_en.vtt 3.60KB
  159. 09 - Bellman Equation and Dynamic Programming/012 Temporal Difference.mp4 133.97MB
  160. 09 - Bellman Equation and Dynamic Programming/008 Markov Decision Process + Bellman.mp4 81.46MB
  161. 09 - Bellman Equation and Dynamic Programming/010 Equation of Q-Learning.mp4 74.42MB
  162. 09 - Bellman Equation and Dynamic Programming/005 Example.mp4 57.33MB
  163. 09 - Bellman Equation and Dynamic Programming/006 Plan.mp4 57.25MB
  164. 09 - Bellman Equation and Dynamic Programming/004 Bellman Equation.mp4 53.04MB
  165. 09 - Bellman Equation and Dynamic Programming/007 Non Deterministic Environment.mp4 49.28MB
  166. 09 - Bellman Equation and Dynamic Programming/009 Introduction to Q-Learning.mp4 45.49MB
  167. 09 - Bellman Equation and Dynamic Programming/003 Value Function.mp4 31.57MB
  168. 09 - Bellman Equation and Dynamic Programming/001 Introduction.mp4 17.36MB
  169. 09 - Bellman Equation and Dynamic Programming/002 Tribute to Bellman.mp4 14.61MB
  170. 09 - Bellman Equation and Dynamic Programming/011 Q value for Non-Deterministic Environment.mp4 11.51MB
  171. 09 - Bellman Equation and Dynamic Programming/012 Temporal Difference_en.vtt 35.04KB
  172. 09 - Bellman Equation and Dynamic Programming/008 Markov Decision Process + Bellman_en.vtt 19.19KB
  173. 09 - Bellman Equation and Dynamic Programming/010 Equation of Q-Learning_en.vtt 16.48KB
  174. 09 - Bellman Equation and Dynamic Programming/004 Bellman Equation_en.vtt 15.15KB
  175. 09 - Bellman Equation and Dynamic Programming/005 Example_en.vtt 13.98KB
  176. 09 - Bellman Equation and Dynamic Programming/007 Non Deterministic Environment_en.vtt 11.60KB
  177. 09 - Bellman Equation and Dynamic Programming/009 Introduction to Q-Learning_en.vtt 10.51KB
  178. 09 - Bellman Equation and Dynamic Programming/006 Plan_en.vtt 9.45KB
  179. 09 - Bellman Equation and Dynamic Programming/003 Value Function_en.vtt 7.59KB
  180. 09 - Bellman Equation and Dynamic Programming/001 Introduction_en.vtt 4.73KB
  181. 09 - Bellman Equation and Dynamic Programming/002 Tribute to Bellman_en.vtt 3.96KB
  182. 09 - Bellman Equation and Dynamic Programming/011 Q value for Non-Deterministic Environment_en.vtt 2.90KB
  183. 10 - Implementation of Q-Learning to Find Optimal Path/002 Introduction to Project Files.mp4 107.41MB
  184. 10 - Implementation of Q-Learning to Find Optimal Path/011 Executing Gameq-Learning Algorithm.mp4 95.10MB
  185. 10 - Implementation of Q-Learning to Find Optimal Path/010 Implementing Temporal Difference.mp4 75.09MB
  186. 10 - Implementation of Q-Learning to Find Optimal Path/001 Introduction to Project.mp4 74.76MB
  187. 10 - Implementation of Q-Learning to Find Optimal Path/005 Example of Q-Table.mp4 72.72MB
  188. 10 - Implementation of Q-Learning to Find Optimal Path/004 Briefing about Q-Table.mp4 67.49MB
  189. 10 - Implementation of Q-Learning to Find Optimal Path/009 Action Selection Policy (Returning max Q value).mp4 66.80MB
  190. 10 - Implementation of Q-Learning to Find Optimal Path/006 Q-Agent.mp4 57.42MB
  191. 10 - Implementation of Q-Learning to Find Optimal Path/003 Creating Environment.mp4 52.84MB
  192. 10 - Implementation of Q-Learning to Find Optimal Path/007 Possible Actions.mp4 37.80MB
  193. 10 - Implementation of Q-Learning to Find Optimal Path/008 Iterations.mp4 32.18MB
  194. 10 - Implementation of Q-Learning to Find Optimal Path/002 Introduction to Project Files_en.vtt 15.55KB
  195. 10 - Implementation of Q-Learning to Find Optimal Path/011 Executing Gameq-Learning Algorithm_en.vtt 13.68KB
  196. 10 - Implementation of Q-Learning to Find Optimal Path/005 Example of Q-Table_en.vtt 13.33KB
  197. 10 - Implementation of Q-Learning to Find Optimal Path/009 Action Selection Policy (Returning max Q value)_en.vtt 12.97KB
  198. 10 - Implementation of Q-Learning to Find Optimal Path/006 Q-Agent_en.vtt 11.73KB
  199. 10 - Implementation of Q-Learning to Find Optimal Path/001 Introduction to Project_en.vtt 11.24KB
  200. 10 - Implementation of Q-Learning to Find Optimal Path/010 Implementing Temporal Difference_en.vtt 10.10KB
  201. 10 - Implementation of Q-Learning to Find Optimal Path/003 Creating Environment_en.vtt 9.11KB
  202. 10 - Implementation of Q-Learning to Find Optimal Path/004 Briefing about Q-Table_en.vtt 8.06KB
  203. 10 - Implementation of Q-Learning to Find Optimal Path/007 Possible Actions_en.vtt 7.62KB
  204. 10 - Implementation of Q-Learning to Find Optimal Path/008 Iterations_en.vtt 5.32KB
  205. 11 - Introduction to gym module/008 Tennis Game with Random Policy.mp4 204.26MB
  206. 11 - Introduction to gym module/006 Transitional Probability.mp4 172.27MB
  207. 11 - Introduction to gym module/007 CartPole Example.mp4 148.52MB
  208. 11 - Introduction to gym module/009 CartPole with Random Policy.mp4 77.19MB
  209. 11 - Introduction to gym module/003 Creating Gym Environment.mp4 68.63MB
  210. 11 - Introduction to gym module/005 State space and Action space.mp4 48.62MB
  211. 11 - Introduction to gym module/002 Example of Gym Environment.mp4 47.11MB
  212. 11 - Introduction to gym module/004 Getting started with Gym.mp4 45.17MB
  213. 11 - Introduction to gym module/001 The gym module.mp4 23.59MB
  214. 11 - Introduction to gym module/006 Transitional Probability_en.vtt 32.63KB
  215. 11 - Introduction to gym module/008 Tennis Game with Random Policy_en.vtt 29.78KB
  216. 11 - Introduction to gym module/007 CartPole Example_en.vtt 19.18KB
  217. 11 - Introduction to gym module/003 Creating Gym Environment_en.vtt 12.29KB
  218. 11 - Introduction to gym module/009 CartPole with Random Policy_en.vtt 11.17KB
  219. 11 - Introduction to gym module/005 State space and Action space_en.vtt 8.54KB
  220. 11 - Introduction to gym module/004 Getting started with Gym_en.vtt 8.20KB
  221. 11 - Introduction to gym module/002 Example of Gym Environment_en.vtt 8.15KB
  222. 11 - Introduction to gym module/001 The gym module_en.vtt 3.10KB
  223. 12 - Monte Carlo Simulation/003 Monte Carlo Method (MC - method).mp4 73.23MB
  224. 12 - Monte Carlo Simulation/001 Why Monte Carlo Simulation is important.mp4 64.69MB
  225. 12 - Monte Carlo Simulation/004 First Visit vs Every Visit MC.mp4 39.89MB
  226. 12 - Monte Carlo Simulation/002 Monte Carlo Simulation.mp4 26.78MB
  227. 12 - Monte Carlo Simulation/005 BlackJack Example.mp4 21.90MB
  228. 12 - Monte Carlo Simulation/003 Monte Carlo Method (MC - method)_en.vtt 12.43KB
  229. 12 - Monte Carlo Simulation/001 Why Monte Carlo Simulation is important_en.vtt 11.63KB
  230. 12 - Monte Carlo Simulation/004 First Visit vs Every Visit MC_en.vtt 7.35KB
  231. 12 - Monte Carlo Simulation/002 Monte Carlo Simulation_en.vtt 5.98KB
  232. 12 - Monte Carlo Simulation/005 BlackJack Example_en.vtt 3.92KB
  233. 13 - Implementing Monte Carlo Predictions/005 Implementing MC simulation.mp4 129.69MB
  234. 13 - Implementing Monte Carlo Predictions/001 BlackJack Game and Rules of the Game.mp4 119.63MB
  235. 13 - Implementing Monte Carlo Predictions/006 Calculate Value of State using MC simulation.mp4 111.87MB
  236. 13 - Implementing Monte Carlo Predictions/003 Defining Policy.mp4 85.62MB
  237. 13 - Implementing Monte Carlo Predictions/004 Generating Episodes.mp4 75.85MB
  238. 13 - Implementing Monte Carlo Predictions/002 Creating BlackJack Environment.mp4 47.13MB
  239. 13 - Implementing Monte Carlo Predictions/005 Implementing MC simulation_en.vtt 21.52KB
  240. 13 - Implementing Monte Carlo Predictions/001 BlackJack Game and Rules of the Game_en.vtt 18.32KB
  241. 13 - Implementing Monte Carlo Predictions/006 Calculate Value of State using MC simulation_en.vtt 15.18KB
  242. 13 - Implementing Monte Carlo Predictions/003 Defining Policy_en.vtt 13.15KB
  243. 13 - Implementing Monte Carlo Predictions/004 Generating Episodes_en.vtt 11.77KB
  244. 13 - Implementing Monte Carlo Predictions/002 Creating BlackJack Environment_en.vtt 8.10KB
  245. 14 - Creating BlackJack Game/002 Introduction to Project Files.mp4 141.08MB
  246. 14 - Creating BlackJack Game/010 Training the Q-Learning model and Running Game.mp4 108.21MB
  247. 14 - Creating BlackJack Game/007 Implementing Temporal Difference (update Q-values).mp4 105.06MB
  248. 14 - Creating BlackJack Game/009 Making AI to play game.mp4 78.42MB
  249. 14 - Creating BlackJack Game/008 AI Player steps.mp4 72.66MB
  250. 14 - Creating BlackJack Game/005 (State, Action, Reward) of Episodes.mp4 60.19MB
  251. 14 - Creating BlackJack Game/001 Action Selection Policy (Epsilon-Greedy).mp4 44.96MB
  252. 14 - Creating BlackJack Game/004 Implementing Epsilon Greedy Policy.mp4 42.99MB
  253. 14 - Creating BlackJack Game/006 Introduction to Discount Parameter.mp4 40.07MB
  254. 14 - Creating BlackJack Game/003 Q-Table.mp4 30.11MB
  255. 14 - Creating BlackJack Game/002 Introduction to Project Files_en.vtt 19.77KB
  256. 14 - Creating BlackJack Game/007 Implementing Temporal Difference (update Q-values)_en.vtt 15.41KB
  257. 14 - Creating BlackJack Game/010 Training the Q-Learning model and Running Game_en.vtt 15.27KB
  258. 14 - Creating BlackJack Game/008 AI Player steps_en.vtt 10.15KB
  259. 14 - Creating BlackJack Game/005 (State, Action, Reward) of Episodes_en.vtt 9.99KB
  260. 14 - Creating BlackJack Game/009 Making AI to play game_en.vtt 9.92KB
  261. 14 - Creating BlackJack Game/004 Implementing Epsilon Greedy Policy_en.vtt 9.57KB
  262. 14 - Creating BlackJack Game/001 Action Selection Policy (Epsilon-Greedy)_en.vtt 8.21KB
  263. 14 - Creating BlackJack Game/006 Introduction to Discount Parameter_en.vtt 6.82KB
  264. 14 - Creating BlackJack Game/003 Q-Table_en.vtt 3.69KB
  265. 15 - Neural Network Refresher/002 Introduction to Neural Networks.mp4 116.34MB
  266. 15 - Neural Network Refresher/008 Introduction to the Activation Function.mp4 105.55MB
  267. 15 - Neural Network Refresher/006 Updating the weights [partial differentiation].mp4 92.46MB
  268. 15 - Neural Network Refresher/012 Introduction to Stochastic Gradient Descent and Adam Optimizer.mp4 77.94MB
  269. 15 - Neural Network Refresher/003 Inspiration and representation for Neural Network.mp4 77.04MB
  270. 15 - Neural Network Refresher/004 History and Application of Neural Network.mp4 69.51MB
  271. 15 - Neural Network Refresher/001 Introduction to Artificial Intelligence.mp4 68.26MB
  272. 15 - Neural Network Refresher/010 Why we use regularization in the Neural Network.mp4 63.18MB
  273. 15 - Neural Network Refresher/011 Introduction to the gradient descent [review].mp4 60.48MB
  274. 15 - Neural Network Refresher/007 Introduction to partial differentiation.mp4 56.07MB
  275. 15 - Neural Network Refresher/005 Example of neural network.mp4 49.35MB
  276. 15 - Neural Network Refresher/009 Why do we need bias in the program.mp4 44.77MB
  277. 15 - Neural Network Refresher/013 Introduction to mini-batch SGD.mp4 16.19MB
  278. 15 - Neural Network Refresher/002 Introduction to Neural Networks_en.vtt 29.36KB
  279. 15 - Neural Network Refresher/008 Introduction to the Activation Function_en.vtt 28.76KB
  280. 15 - Neural Network Refresher/006 Updating the weights [partial differentiation]_en.vtt 22.21KB
  281. 15 - Neural Network Refresher/012 Introduction to Stochastic Gradient Descent and Adam Optimizer_en.vtt 21.20KB
  282. 15 - Neural Network Refresher/007 Introduction to partial differentiation_en.vtt 19.16KB
  283. 15 - Neural Network Refresher/011 Introduction to the gradient descent [review]_en.vtt 19.12KB
  284. 15 - Neural Network Refresher/004 History and Application of Neural Network_en.vtt 17.37KB
  285. 15 - Neural Network Refresher/003 Inspiration and representation for Neural Network_en.vtt 16.74KB
  286. 15 - Neural Network Refresher/005 Example of neural network_en.vtt 16.02KB
  287. 15 - Neural Network Refresher/001 Introduction to Artificial Intelligence_en.vtt 11.77KB
  288. 15 - Neural Network Refresher/009 Why do we need bias in the program_en.vtt 11.46KB
  289. 15 - Neural Network Refresher/010 Why we use regularization in the Neural Network_en.vtt 3.60KB
  290. 15 - Neural Network Refresher/013 Introduction to mini-batch SGD_en.vtt 3.39KB
  291. 16 - Scratch Implementation of Neural Network/004 Coding dense layer [must know Object Oriented Programming].mp4 121.29MB
  292. 16 - Scratch Implementation of Neural Network/005 Introduction to Activation Function.mp4 104.86MB
  293. 16 - Scratch Implementation of Neural Network/002 Coding neuron layer.mp4 94.62MB
  294. 16 - Scratch Implementation of Neural Network/006 Implementation of activation function [step and sigmoid].mp4 69.26MB
  295. 16 - Scratch Implementation of Neural Network/001 Setting up environment and coding single neuron.mp4 68.78MB
  296. 16 - Scratch Implementation of Neural Network/007 Implementation of activation function [tanh and ReLu].mp4 62.03MB
  297. 16 - Scratch Implementation of Neural Network/003 Using dot product to code neuron layer.mp4 49.11MB
  298. 16 - Scratch Implementation of Neural Network/004 Coding dense layer [must know Object Oriented Programming]_en.vtt 24.17KB
  299. 16 - Scratch Implementation of Neural Network/002 Coding neuron layer_en.vtt 21.11KB
  300. 16 - Scratch Implementation of Neural Network/001 Setting up environment and coding single neuron_en.vtt 19.00KB
  301. 16 - Scratch Implementation of Neural Network/005 Introduction to Activation Function_en.vtt 18.63KB
  302. 16 - Scratch Implementation of Neural Network/007 Implementation of activation function [tanh and ReLu]_en.vtt 16.27KB
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  304. 16 - Scratch Implementation of Neural Network/003 Using dot product to code neuron layer_en.vtt 12.37KB
  305. 17 - Tensorflow and Keras/006 Keras models (Important).mp4 122.59MB
  306. 17 - Tensorflow and Keras/004 Examples.mp4 98.06MB
  307. 17 - Tensorflow and Keras/001 What is Tensorflow.mp4 60.65MB
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  309. 17 - Tensorflow and Keras/007 Implementing Neural Network using Keras.mp4 46.83MB
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  311. 17 - Tensorflow and Keras/005 Introduction to Keras.mp4 41.40MB
  312. 17 - Tensorflow and Keras/006 Keras models (Important)_en.vtt 12.77KB
  313. 17 - Tensorflow and Keras/004 Examples_en.vtt 11.77KB
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  315. 17 - Tensorflow and Keras/001 What is Tensorflow_en.vtt 9.66KB
  316. 17 - Tensorflow and Keras/003 Program Elements of Tensorflow_en.vtt 8.76KB
  317. 17 - Tensorflow and Keras/007 Implementing Neural Network using Keras_en.vtt 5.47KB
  318. 17 - Tensorflow and Keras/005 Introduction to Keras_en.vtt 5.23KB
  319. 18 - TicTacToe Tensorflow/003 Preprocess the state.mp4 178.22MB
  320. 18 - TicTacToe Tensorflow/009 Creating Neural Network Player.mp4 171.79MB
  321. 18 - TicTacToe Tensorflow/002 Creating model for the Game.mp4 142.22MB
  322. 18 - TicTacToe Tensorflow/008 TicTacToe Neural Network.mp4 140.20MB
  323. 18 - TicTacToe Tensorflow/005 Training the model.mp4 58.22MB
  324. 18 - TicTacToe Tensorflow/004 Define Independent (input) and Dependent (output) Variable.mp4 45.42MB
  325. 18 - TicTacToe Tensorflow/001 Introduction to Project Files.mp4 42.72MB
  326. 18 - TicTacToe Tensorflow/007 TicTacToe Model.mp4 30.25MB
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  331. 18 - TicTacToe Tensorflow/008 TicTacToe Neural Network_en.vtt 20.68KB
  332. 18 - TicTacToe Tensorflow/005 Training the model_en.vtt 9.55KB
  333. 18 - TicTacToe Tensorflow/001 Introduction to Project Files_en.vtt 6.68KB
  334. 18 - TicTacToe Tensorflow/004 Define Independent (input) and Dependent (output) Variable_en.vtt 6.25KB
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  337. 19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/002 Action Selection Policy.mp4 104.06MB
  338. 19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/003 Exploration vs Exploitation.mp4 92.31MB
  339. 19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/001 Introduction to Deep Q-Learning.mp4 75.87MB
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  341. 19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/001 Introduction to Deep Q-Learning_en.vtt 15.74KB
  342. 19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/002 Action Selection Policy_en.vtt 12.26KB
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  344. 19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/004 Deep Convolution Q-Learning_en.vtt 9.13KB
  345. 20 - Convolution Neural Network/003 Convolution Layer.mp4 96.37MB
  346. 20 - Convolution Neural Network/006 BackPropagation.mp4 52.58MB
  347. 20 - Convolution Neural Network/001 Introduction to convolution neural network.mp4 31.02MB
  348. 20 - Convolution Neural Network/002 How ConvNet works.mp4 29.35MB
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  352. 20 - Convolution Neural Network/006 BackPropagation_en.vtt 8.07KB
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  357. 21 - Deep Convolution Q-Learning Practical Pacman game/006 Build Convolution Neural Network.mp4 193.97MB
  358. 21 - Deep Convolution Q-Learning Practical Pacman game/013 Training model for multiple iterations.mp4 114.61MB
  359. 21 - Deep Convolution Q-Learning Practical Pacman game/002 Mean Squared Error.mp4 112.87MB
  360. 21 - Deep Convolution Q-Learning Practical Pacman game/001 Introduction to Replay Buffer.mp4 103.28MB
  361. 21 - Deep Convolution Q-Learning Practical Pacman game/005 Solving ROM error.mp4 101.72MB
  362. 21 - Deep Convolution Q-Learning Practical Pacman game/009 Epsilon Greedy (Action-Selection Policy).mp4 101.49MB
  363. 21 - Deep Convolution Q-Learning Practical Pacman game/014 Simulating the game and storing transitions.mp4 95.70MB
  364. 21 - Deep Convolution Q-Learning Practical Pacman game/010 Training the neural network.mp4 89.93MB
  365. 21 - Deep Convolution Q-Learning Practical Pacman game/008 Build Main Network and Target Network.mp4 84.40MB
  366. 21 - Deep Convolution Q-Learning Practical Pacman game/004 Creating Environment.mp4 77.84MB
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  368. 21 - Deep Convolution Q-Learning Practical Pacman game/003 Main Network and Target Network.mp4 47.60MB
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  374. 21 - Deep Convolution Q-Learning Practical Pacman game/001 Introduction to Replay Buffer_en.vtt 21.23KB
  375. 21 - Deep Convolution Q-Learning Practical Pacman game/013 Training model for multiple iterations_en.vtt 17.18KB
  376. 21 - Deep Convolution Q-Learning Practical Pacman game/010 Training the neural network_en.vtt 16.70KB
  377. 21 - Deep Convolution Q-Learning Practical Pacman game/009 Epsilon Greedy (Action-Selection Policy)_en.vtt 15.09KB
  378. 21 - Deep Convolution Q-Learning Practical Pacman game/014 Simulating the game and storing transitions_en.vtt 14.23KB
  379. 21 - Deep Convolution Q-Learning Practical Pacman game/008 Build Main Network and Target Network_en.vtt 13.32KB
  380. 21 - Deep Convolution Q-Learning Practical Pacman game/005 Solving ROM error_en.vtt 13.14KB
  381. 21 - Deep Convolution Q-Learning Practical Pacman game/003 Main Network and Target Network_en.vtt 11.40KB
  382. 21 - Deep Convolution Q-Learning Practical Pacman game/004 Creating Environment_en.vtt 10.45KB
  383. 21 - Deep Convolution Q-Learning Practical Pacman game/012 Preprocess the state_en.vtt 9.69KB
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  386. 21 - Deep Convolution Q-Learning Practical Pacman game/015 Testing the game_en.vtt 4.80KB
  387. 22 - Any games you want to suggest/001 Farewell.html 339B