TorBT - Torrents and Magnet Links Search Engine
Learn To Create Artificially Intelligent Games Using Python3
- Date: 2026-10-30
- Size: 13 GB
- Files: 387
File Name
Size
01 - Introduction/001 Introduction.mp4
34 MB
01 - Introduction/001 Introduction_en.vtt
1.6 kB
02 - Setup Anaconda and Install Dependencies for Project/003 Install DependenciesLibraries for the Course.mp4
83 MB
02 - Setup Anaconda and Install Dependencies for Project/001 Install Anaconda.mp4
64 MB
02 - Setup Anaconda and Install Dependencies for Project/004 Download Visual Studio Code.mp4
41 MB
02 - Setup Anaconda and Install Dependencies for Project/002 Create Virtual Environment.mp4
40 MB
02 - Setup Anaconda and Install Dependencies for Project/004 Download Visual Studio Code_en.vtt
8.7 kB
02 - Setup Anaconda and Install Dependencies for Project/003 Install DependenciesLibraries for the Course_en.vtt
8.3 kB
02 - Setup Anaconda and Install Dependencies for Project/001 Install Anaconda_en.vtt
6.7 kB
02 - Setup Anaconda and Install Dependencies for Project/002 Create Virtual Environment_en.vtt
5.6 kB
03 - Python Essentials/013 Logical statements.mp4
170 MB
03 - Python Essentials/033 Multiple Inheritance.mp4
159 MB
03 - Python Essentials/032 What is Inheritance.mp4
141 MB
03 - Python Essentials/003 Basic Arithmetic in Python.mp4
140 MB
03 - Python Essentials/031 Constructor in Python.mp4
122 MB
03 - Python Essentials/006 Access elements of String.mp4
113 MB
03 - Python Essentials/030 Class and Objects Continued.mp4
103 MB
03 - Python Essentials/023 Important List Comprehension for Game Development.mp4
96 MB
03 - Python Essentials/022 For loop.mp4
93 MB
03 - Python Essentials/015 if else statements.mp4
89 MB
03 - Python Essentials/025 Learn to create Functions.mp4
79 MB
03 - Python Essentials/004 Operations on Numbers.mp4
76 MB
03 - Python Essentials/020 Infinite while loop (Game Loop).mp4
73 MB
03 - Python Essentials/018 How to access the items from the list.mp4
71 MB
03 - Python Essentials/029 Class and Objects.mp4
64 MB
03 - Python Essentials/017 Checking type of Data Structures.mp4
62 MB
03 - Python Essentials/007 Formatting strings.mp4
61 MB
03 - Python Essentials/009 Create Variables in Python.mp4
60 MB
03 - Python Essentials/026 Learn about return statements.mp4
58 MB
03 - Python Essentials/011 Learn to create conditions.mp4
48 MB
03 - Python Essentials/027 Introduction to the section.mp4
42 MB
03 - Python Essentials/028 What is Object Oriented Programming.mp4
38 MB
03 - Python Essentials/021 Finite Game Loop.mp4
36 MB
03 - Python Essentials/016 Introduction to Data Structures.mp4
35 MB
03 - Python Essentials/005 Introduction to Strings in Python.mp4
26 MB
03 - Python Essentials/002 Introduction to the data types.mp4
25 MB
03 - Python Essentials/001 What is Python.mp4
23 MB
03 - Python Essentials/010 Introduction to Booleans in Python.mp4
20 MB
03 - Python Essentials/014 Introduction to conditional statements.mp4
17 MB
03 - Python Essentials/008 Introduction to the variables.mp4
14 MB
03 - Python Essentials/012 is operator in Python.mp4
14 MB
03 - Python Essentials/024 What is Function and Why we need it.mp4
12 MB
03 - Python Essentials/019 Introduction to the loops in Python.mp4
12 MB
03 - Python Essentials/003 Basic Arithmetic in Python_en.vtt
24 kB
03 - Python Essentials/013 Logical statements_en.vtt
23 kB
03 - Python Essentials/023 Important List Comprehension for Game Development_en.vtt
19 kB
03 - Python Essentials/033 Multiple Inheritance_en.vtt
18 kB
03 - Python Essentials/022 For loop_en.vtt
17 kB
03 - Python Essentials/020 Infinite while loop (Game Loop)_en.vtt
14 kB
03 - Python Essentials/004 Operations on Numbers_en.vtt
14 kB
03 - Python Essentials/032 What is Inheritance_en.vtt
14 kB
03 - Python Essentials/031 Constructor in Python_en.vtt
14 kB
03 - Python Essentials/030 Class and Objects Continued_en.vtt
14 kB
03 - Python Essentials/007 Formatting strings_en.vtt
13 kB
03 - Python Essentials/025 Learn to create Functions_en.vtt
12 kB
03 - Python Essentials/006 Access elements of String_en.vtt
12 kB
03 - Python Essentials/018 How to access the items from the list_en.vtt
11 kB
03 - Python Essentials/009 Create Variables in Python_en.vtt
11 kB
03 - Python Essentials/015 if else statements_en.vtt
11 kB
03 - Python Essentials/017 Checking type of Data Structures_en.vtt
10 kB
03 - Python Essentials/029 Class and Objects_en.vtt
9.3 kB
03 - Python Essentials/026 Learn about return statements_en.vtt
8.9 kB
03 - Python Essentials/011 Learn to create conditions_en.vtt
6.8 kB
03 - Python Essentials/021 Finite Game Loop_en.vtt
6.3 kB
03 - Python Essentials/005 Introduction to Strings in Python_en.vtt
4.9 kB
03 - Python Essentials/028 What is Object Oriented Programming_en.vtt
4.8 kB
03 - Python Essentials/027 Introduction to the section_en.vtt
3.1 kB
03 - Python Essentials/012 is operator in Python_en.vtt
2.9 kB
03 - Python Essentials/016 Introduction to Data Structures_en.vtt
2.7 kB
03 - Python Essentials/001 What is Python_en.vtt
2.0 kB
03 - Python Essentials/002 Introduction to the data types_en.vtt
1.4 kB
03 - Python Essentials/010 Introduction to Booleans in Python_en.vtt
1.3 kB
03 - Python Essentials/008 Introduction to the variables_en.vtt
992 B
03 - Python Essentials/014 Introduction to conditional statements_en.vtt
935 B
03 - Python Essentials/024 What is Function and Why we need it_en.vtt
870 B
03 - Python Essentials/019 Introduction to the loops in Python_en.vtt
679 B
04 - Pygame Refresher/002 Pygame coordinate System.mp4
132 MB
04 - Pygame Refresher/003 Introduction to Pygame shape.mp4
93 MB
04 - Pygame Refresher/006 Fundamentals of Pygame -- skeleton code.mp4
89 MB
04 - Pygame Refresher/004 Draw shapes using Pygame.mp4
83 MB
04 - Pygame Refresher/010 Make movement within Boundary.mp4
79 MB
04 - Pygame Refresher/005 Color Picker.mp4
70 MB
04 - Pygame Refresher/001 Introduction to the pygame.mp4
51 MB
04 - Pygame Refresher/008 Movement of the shapes.mp4
50 MB
04 - Pygame Refresher/007 Render a rectangle in the Screen.mp4
50 MB
04 - Pygame Refresher/009 Smoothen the movement using FPS.mp4
38 MB
04 - Pygame Refresher/002 Pygame coordinate System_en.vtt
20 kB
04 - Pygame Refresher/010 Make movement within Boundary_en.vtt
14 kB
04 - Pygame Refresher/006 Fundamentals of Pygame -- skeleton code_en.vtt
12 kB
04 - Pygame Refresher/004 Draw shapes using Pygame_en.vtt
10 kB
04 - Pygame Refresher/008 Movement of the shapes_en.vtt
8.1 kB
04 - Pygame Refresher/007 Render a rectangle in the Screen_en.vtt
7.4 kB
04 - Pygame Refresher/003 Introduction to Pygame shape_en.vtt
7.2 kB
04 - Pygame Refresher/005 Color Picker_en.vtt
7.0 kB
04 - Pygame Refresher/009 Smoothen the movement using FPS_en.vtt
6.3 kB
04 - Pygame Refresher/001 Introduction to the pygame_en.vtt
6.3 kB
05 - Introduction to MinMax Algorithm/006 Example of Heuristic.mp4
68 MB
05 - Introduction to MinMax Algorithm/008 Example of MinMax.mp4
65 MB
05 - Introduction to MinMax Algorithm/007 Introduction to MinMax algorithm.mp4
60 MB
05 - Introduction to MinMax Algorithm/001 Introduction to Board Games.mp4
57 MB
05 - Introduction to MinMax Algorithm/004 Solution of Lookahead problem.mp4
53 MB
05 - Introduction to MinMax Algorithm/002 Tree representation of Game.mp4
46 MB
05 - Introduction to MinMax Algorithm/009 MinMax Example for TicTacToe.mp4
41 MB
05 - Introduction to MinMax Algorithm/005 Heuristic Evaluation of Board.mp4
37 MB
05 - Introduction to MinMax Algorithm/003 Lookahead Problem.mp4
30 MB
05 - Introduction to MinMax Algorithm/010 MinMax Algorithm.mp4
8.6 MB
05 - Introduction to MinMax Algorithm/007 Introduction to MinMax algorithm_en.vtt
17 kB
05 - Introduction to MinMax Algorithm/006 Example of Heuristic_en.vtt
15 kB
05 - Introduction to MinMax Algorithm/008 Example of MinMax_en.vtt
14 kB
05 - Introduction to MinMax Algorithm/001 Introduction to Board Games_en.vtt
14 kB
05 - Introduction to MinMax Algorithm/004 Solution of Lookahead problem_en.vtt
12 kB
05 - Introduction to MinMax Algorithm/002 Tree representation of Game_en.vtt
10 kB
05 - Introduction to MinMax Algorithm/009 MinMax Example for TicTacToe_en.vtt
9.5 kB
05 - Introduction to MinMax Algorithm/005 Heuristic Evaluation of Board_en.vtt
8.8 kB
05 - Introduction to MinMax Algorithm/003 Lookahead Problem_en.vtt
8.2 kB
05 - Introduction to MinMax Algorithm/010 MinMax Algorithm_en.vtt
2.1 kB
06 - Creating TicTacToe using MinMax algorithm/006 Implementing MinMax algorithm.mp4
113 MB
06 - Creating TicTacToe using MinMax algorithm/008 Playing against AI player and Tuning algorithm.mp4
96 MB
06 - Creating TicTacToe using MinMax algorithm/005 Calculating ValueHeuristic for Min Max player.mp4
72 MB
06 - Creating TicTacToe using MinMax algorithm/002 Introduction to Project Files.mp4
67 MB
06 - Creating TicTacToe using MinMax algorithm/003 Creating Indecisive Player (Random).mp4
60 MB
06 - Creating TicTacToe using MinMax algorithm/007 Setting up Autoplayer (Artificial Intelligent Player).mp4
53 MB
06 - Creating TicTacToe using MinMax algorithm/004 Implementing MinMax.mp4
48 MB
06 - Creating TicTacToe using MinMax algorithm/001 introduction to Game.mp4
44 MB
06 - Creating TicTacToe using MinMax algorithm/006 Implementing MinMax algorithm_en.vtt
19 kB
06 - Creating TicTacToe using MinMax algorithm/008 Playing against AI player and Tuning algorithm_en.vtt
12 kB
06 - Creating TicTacToe using MinMax algorithm/003 Creating Indecisive Player (Random)_en.vtt
12 kB
06 - Creating TicTacToe using MinMax algorithm/005 Calculating ValueHeuristic for Min Max player_en.vtt
11 kB
06 - Creating TicTacToe using MinMax algorithm/002 Introduction to Project Files_en.vtt
10 kB
06 - Creating TicTacToe using MinMax algorithm/004 Implementing MinMax_en.vtt
8.5 kB
06 - Creating TicTacToe using MinMax algorithm/001 introduction to Game_en.vtt
7.8 kB
06 - Creating TicTacToe using MinMax algorithm/007 Setting up Autoplayer (Artificial Intelligent Player)_en.vtt
7.3 kB
07 - Introduction to Artificial Intelligence/009 Value of the State.mp4
56 MB
07 - Introduction to Artificial Intelligence/002 Reinforcement Learning.mp4
49 MB
07 - Introduction to Artificial Intelligence/001 Motivation for Artificial Intelligence.mp4
22 MB
07 - Introduction to Artificial Intelligence/007 Policy.mp4
19 MB
07 - Introduction to Artificial Intelligence/010 Model.mp4
18 MB
07 - Introduction to Artificial Intelligence/006 Typical RL scenario.mp4
18 MB
07 - Introduction to Artificial Intelligence/004 Rewards.mp4
13 MB
07 - Introduction to Artificial Intelligence/003 Environment.mp4
11 MB
07 - Introduction to Artificial Intelligence/005 Path.mp4
5.4 MB
07 - Introduction to Artificial Intelligence/008 Rewards.mp4
5.3 MB
07 - Introduction to Artificial Intelligence/009 Value of the State_en.vtt
8.2 kB
07 - Introduction to Artificial Intelligence/010 Model_en.vtt
4.9 kB
07 - Introduction to Artificial Intelligence/006 Typical RL scenario_en.vtt
4.0 kB
07 - Introduction to Artificial Intelligence/007 Policy_en.vtt
3.5 kB
07 - Introduction to Artificial Intelligence/001 Motivation for Artificial Intelligence_en.vtt
3.0 kB
07 - Introduction to Artificial Intelligence/004 Rewards_en.vtt
2.7 kB
07 - Introduction to Artificial Intelligence/002 Reinforcement Learning_en.vtt
2.7 kB
07 - Introduction to Artificial Intelligence/003 Environment_en.vtt
2.6 kB
07 - Introduction to Artificial Intelligence/005 Path_en.vtt
1.2 kB
07 - Introduction to Artificial Intelligence/008 Rewards_en.vtt
912 B
08 - Key Terms of Artificial Intelligence (Important)/003 Markov Decision Process.mp4
73 MB
08 - Key Terms of Artificial Intelligence (Important)/001 Markov Property and Markov Chain.mp4
39 MB
08 - Key Terms of Artificial Intelligence (Important)/002 Markov Reward Process.mp4
29 MB
08 - Key Terms of Artificial Intelligence (Important)/003 Markov Decision Process_en.vtt
10 kB
08 - Key Terms of Artificial Intelligence (Important)/001 Markov Property and Markov Chain_en.vtt
8.2 kB
08 - Key Terms of Artificial Intelligence (Important)/002 Markov Reward Process_en.vtt
3.6 kB
09 - Bellman Equation and Dynamic Programming/012 Temporal Difference.mp4
134 MB
09 - Bellman Equation and Dynamic Programming/008 Markov Decision Process + Bellman.mp4
82 MB
09 - Bellman Equation and Dynamic Programming/010 Equation of Q-Learning.mp4
74 MB
09 - Bellman Equation and Dynamic Programming/005 Example.mp4
57 MB
09 - Bellman Equation and Dynamic Programming/006 Plan.mp4
57 MB
09 - Bellman Equation and Dynamic Programming/004 Bellman Equation.mp4
53 MB
09 - Bellman Equation and Dynamic Programming/007 Non Deterministic Environment.mp4
49 MB
09 - Bellman Equation and Dynamic Programming/009 Introduction to Q-Learning.mp4
46 MB
09 - Bellman Equation and Dynamic Programming/003 Value Function.mp4
32 MB
09 - Bellman Equation and Dynamic Programming/001 Introduction.mp4
17 MB
09 - Bellman Equation and Dynamic Programming/002 Tribute to Bellman.mp4
15 MB
09 - Bellman Equation and Dynamic Programming/011 Q value for Non-Deterministic Environment.mp4
12 MB
09 - Bellman Equation and Dynamic Programming/012 Temporal Difference_en.vtt
35 kB
09 - Bellman Equation and Dynamic Programming/008 Markov Decision Process + Bellman_en.vtt
19 kB
09 - Bellman Equation and Dynamic Programming/010 Equation of Q-Learning_en.vtt
16 kB
09 - Bellman Equation and Dynamic Programming/004 Bellman Equation_en.vtt
15 kB
09 - Bellman Equation and Dynamic Programming/005 Example_en.vtt
14 kB
09 - Bellman Equation and Dynamic Programming/007 Non Deterministic Environment_en.vtt
12 kB
09 - Bellman Equation and Dynamic Programming/009 Introduction to Q-Learning_en.vtt
10 kB
09 - Bellman Equation and Dynamic Programming/006 Plan_en.vtt
9.5 kB
09 - Bellman Equation and Dynamic Programming/003 Value Function_en.vtt
7.6 kB
09 - Bellman Equation and Dynamic Programming/001 Introduction_en.vtt
4.7 kB
09 - Bellman Equation and Dynamic Programming/002 Tribute to Bellman_en.vtt
4.0 kB
09 - Bellman Equation and Dynamic Programming/011 Q value for Non-Deterministic Environment_en.vtt
2.9 kB
10 - Implementation of Q-Learning to Find Optimal Path/002 Introduction to Project Files.mp4
107 MB
10 - Implementation of Q-Learning to Find Optimal Path/011 Executing Gameq-Learning Algorithm.mp4
95 MB
10 - Implementation of Q-Learning to Find Optimal Path/010 Implementing Temporal Difference.mp4
75 MB
10 - Implementation of Q-Learning to Find Optimal Path/001 Introduction to Project.mp4
75 MB
10 - Implementation of Q-Learning to Find Optimal Path/005 Example of Q-Table.mp4
73 MB
10 - Implementation of Q-Learning to Find Optimal Path/004 Briefing about Q-Table.mp4
68 MB
10 - Implementation of Q-Learning to Find Optimal Path/009 Action Selection Policy (Returning max Q value).mp4
67 MB
10 - Implementation of Q-Learning to Find Optimal Path/006 Q-Agent.mp4
57 MB
10 - Implementation of Q-Learning to Find Optimal Path/003 Creating Environment.mp4
53 MB
10 - Implementation of Q-Learning to Find Optimal Path/007 Possible Actions.mp4
38 MB
10 - Implementation of Q-Learning to Find Optimal Path/008 Iterations.mp4
32 MB
10 - Implementation of Q-Learning to Find Optimal Path/002 Introduction to Project Files_en.vtt
16 kB
10 - Implementation of Q-Learning to Find Optimal Path/011 Executing Gameq-Learning Algorithm_en.vtt
14 kB
10 - Implementation of Q-Learning to Find Optimal Path/005 Example of Q-Table_en.vtt
13 kB
10 - Implementation of Q-Learning to Find Optimal Path/009 Action Selection Policy (Returning max Q value)_en.vtt
13 kB
10 - Implementation of Q-Learning to Find Optimal Path/006 Q-Agent_en.vtt
12 kB
10 - Implementation of Q-Learning to Find Optimal Path/001 Introduction to Project_en.vtt
11 kB
10 - Implementation of Q-Learning to Find Optimal Path/010 Implementing Temporal Difference_en.vtt
10 kB
10 - Implementation of Q-Learning to Find Optimal Path/003 Creating Environment_en.vtt
9.1 kB
10 - Implementation of Q-Learning to Find Optimal Path/004 Briefing about Q-Table_en.vtt
8.1 kB
10 - Implementation of Q-Learning to Find Optimal Path/007 Possible Actions_en.vtt
7.6 kB
10 - Implementation of Q-Learning to Find Optimal Path/008 Iterations_en.vtt
5.3 kB
11 - Introduction to gym module/008 Tennis Game with Random Policy.mp4
204 MB
11 - Introduction to gym module/006 Transitional Probability.mp4
172 MB
11 - Introduction to gym module/007 CartPole Example.mp4
148 MB
11 - Introduction to gym module/009 CartPole with Random Policy.mp4
77 MB
11 - Introduction to gym module/003 Creating Gym Environment.mp4
69 MB
11 - Introduction to gym module/005 State space and Action space.mp4
49 MB
11 - Introduction to gym module/002 Example of Gym Environment.mp4
47 MB
11 - Introduction to gym module/004 Getting started with Gym.mp4
45 MB
11 - Introduction to gym module/001 The gym module.mp4
24 MB
11 - Introduction to gym module/006 Transitional Probability_en.vtt
33 kB
11 - Introduction to gym module/008 Tennis Game with Random Policy_en.vtt
30 kB
11 - Introduction to gym module/007 CartPole Example_en.vtt
19 kB
11 - Introduction to gym module/003 Creating Gym Environment_en.vtt
12 kB
11 - Introduction to gym module/009 CartPole with Random Policy_en.vtt
11 kB
11 - Introduction to gym module/005 State space and Action space_en.vtt
8.5 kB
11 - Introduction to gym module/004 Getting started with Gym_en.vtt
8.2 kB
11 - Introduction to gym module/002 Example of Gym Environment_en.vtt
8.2 kB
11 - Introduction to gym module/001 The gym module_en.vtt
3.1 kB
12 - Monte Carlo Simulation/003 Monte Carlo Method (MC - method).mp4
73 MB
12 - Monte Carlo Simulation/001 Why Monte Carlo Simulation is important.mp4
65 MB
12 - Monte Carlo Simulation/004 First Visit vs Every Visit MC.mp4
40 MB
12 - Monte Carlo Simulation/002 Monte Carlo Simulation.mp4
27 MB
12 - Monte Carlo Simulation/005 BlackJack Example.mp4
22 MB
12 - Monte Carlo Simulation/003 Monte Carlo Method (MC - method)_en.vtt
12 kB
12 - Monte Carlo Simulation/001 Why Monte Carlo Simulation is important_en.vtt
12 kB
12 - Monte Carlo Simulation/004 First Visit vs Every Visit MC_en.vtt
7.4 kB
12 - Monte Carlo Simulation/002 Monte Carlo Simulation_en.vtt
6.0 kB
12 - Monte Carlo Simulation/005 BlackJack Example_en.vtt
3.9 kB
13 - Implementing Monte Carlo Predictions/005 Implementing MC simulation.mp4
130 MB
13 - Implementing Monte Carlo Predictions/001 BlackJack Game and Rules of the Game.mp4
120 MB
13 - Implementing Monte Carlo Predictions/006 Calculate Value of State using MC simulation.mp4
112 MB
13 - Implementing Monte Carlo Predictions/003 Defining Policy.mp4
86 MB
13 - Implementing Monte Carlo Predictions/004 Generating Episodes.mp4
76 MB
13 - Implementing Monte Carlo Predictions/002 Creating BlackJack Environment.mp4
47 MB
13 - Implementing Monte Carlo Predictions/005 Implementing MC simulation_en.vtt
22 kB
13 - Implementing Monte Carlo Predictions/001 BlackJack Game and Rules of the Game_en.vtt
18 kB
13 - Implementing Monte Carlo Predictions/006 Calculate Value of State using MC simulation_en.vtt
15 kB
13 - Implementing Monte Carlo Predictions/003 Defining Policy_en.vtt
13 kB
13 - Implementing Monte Carlo Predictions/004 Generating Episodes_en.vtt
12 kB
13 - Implementing Monte Carlo Predictions/002 Creating BlackJack Environment_en.vtt
8.1 kB
14 - Creating BlackJack Game/002 Introduction to Project Files.mp4
141 MB
14 - Creating BlackJack Game/010 Training the Q-Learning model and Running Game.mp4
108 MB
14 - Creating BlackJack Game/007 Implementing Temporal Difference (update Q-values).mp4
105 MB
14 - Creating BlackJack Game/009 Making AI to play game.mp4
78 MB
14 - Creating BlackJack Game/008 AI Player steps.mp4
73 MB
14 - Creating BlackJack Game/005 (State, Action, Reward) of Episodes.mp4
60 MB
14 - Creating BlackJack Game/001 Action Selection Policy (Epsilon-Greedy).mp4
45 MB
14 - Creating BlackJack Game/004 Implementing Epsilon Greedy Policy.mp4
43 MB
14 - Creating BlackJack Game/006 Introduction to Discount Parameter.mp4
40 MB
14 - Creating BlackJack Game/003 Q-Table.mp4
30 MB
14 - Creating BlackJack Game/002 Introduction to Project Files_en.vtt
20 kB
14 - Creating BlackJack Game/007 Implementing Temporal Difference (update Q-values)_en.vtt
15 kB
14 - Creating BlackJack Game/010 Training the Q-Learning model and Running Game_en.vtt
15 kB
14 - Creating BlackJack Game/008 AI Player steps_en.vtt
10 kB
14 - Creating BlackJack Game/005 (State, Action, Reward) of Episodes_en.vtt
10 kB
14 - Creating BlackJack Game/009 Making AI to play game_en.vtt
9.9 kB
14 - Creating BlackJack Game/004 Implementing Epsilon Greedy Policy_en.vtt
9.6 kB
14 - Creating BlackJack Game/001 Action Selection Policy (Epsilon-Greedy)_en.vtt
8.2 kB
14 - Creating BlackJack Game/006 Introduction to Discount Parameter_en.vtt
6.8 kB
14 - Creating BlackJack Game/003 Q-Table_en.vtt
3.7 kB
15 - Neural Network Refresher/002 Introduction to Neural Networks.mp4
116 MB
15 - Neural Network Refresher/008 Introduction to the Activation Function.mp4
106 MB
15 - Neural Network Refresher/006 Updating the weights [partial differentiation].mp4
92 MB
15 - Neural Network Refresher/012 Introduction to Stochastic Gradient Descent and Adam Optimizer.mp4
78 MB
15 - Neural Network Refresher/003 Inspiration and representation for Neural Network.mp4
77 MB
15 - Neural Network Refresher/004 History and Application of Neural Network.mp4
70 MB
15 - Neural Network Refresher/001 Introduction to Artificial Intelligence.mp4
68 MB
15 - Neural Network Refresher/010 Why we use regularization in the Neural Network.mp4
63 MB
15 - Neural Network Refresher/011 Introduction to the gradient descent [review].mp4
60 MB
15 - Neural Network Refresher/007 Introduction to partial differentiation.mp4
56 MB
15 - Neural Network Refresher/005 Example of neural network.mp4
49 MB
15 - Neural Network Refresher/009 Why do we need bias in the program.mp4
45 MB
15 - Neural Network Refresher/013 Introduction to mini-batch SGD.mp4
16 MB
15 - Neural Network Refresher/002 Introduction to Neural Networks_en.vtt
29 kB
15 - Neural Network Refresher/008 Introduction to the Activation Function_en.vtt
29 kB
15 - Neural Network Refresher/006 Updating the weights [partial differentiation]_en.vtt
22 kB
15 - Neural Network Refresher/012 Introduction to Stochastic Gradient Descent and Adam Optimizer_en.vtt
21 kB
15 - Neural Network Refresher/007 Introduction to partial differentiation_en.vtt
19 kB
15 - Neural Network Refresher/011 Introduction to the gradient descent [review]_en.vtt
19 kB
15 - Neural Network Refresher/004 History and Application of Neural Network_en.vtt
17 kB
15 - Neural Network Refresher/003 Inspiration and representation for Neural Network_en.vtt
17 kB
15 - Neural Network Refresher/005 Example of neural network_en.vtt
16 kB
15 - Neural Network Refresher/001 Introduction to Artificial Intelligence_en.vtt
12 kB
15 - Neural Network Refresher/009 Why do we need bias in the program_en.vtt
12 kB
15 - Neural Network Refresher/010 Why we use regularization in the Neural Network_en.vtt
3.6 kB
15 - Neural Network Refresher/013 Introduction to mini-batch SGD_en.vtt
3.4 kB
16 - Scratch Implementation of Neural Network/004 Coding dense layer [must know Object Oriented Programming].mp4
121 MB
16 - Scratch Implementation of Neural Network/005 Introduction to Activation Function.mp4
105 MB
16 - Scratch Implementation of Neural Network/002 Coding neuron layer.mp4
95 MB
16 - Scratch Implementation of Neural Network/006 Implementation of activation function [step and sigmoid].mp4
69 MB
16 - Scratch Implementation of Neural Network/001 Setting up environment and coding single neuron.mp4
69 MB
16 - Scratch Implementation of Neural Network/007 Implementation of activation function [tanh and ReLu].mp4
62 MB
16 - Scratch Implementation of Neural Network/003 Using dot product to code neuron layer.mp4
49 MB
16 - Scratch Implementation of Neural Network/004 Coding dense layer [must know Object Oriented Programming]_en.vtt
24 kB
16 - Scratch Implementation of Neural Network/002 Coding neuron layer_en.vtt
21 kB
16 - Scratch Implementation of Neural Network/001 Setting up environment and coding single neuron_en.vtt
19 kB
16 - Scratch Implementation of Neural Network/005 Introduction to Activation Function_en.vtt
19 kB
16 - Scratch Implementation of Neural Network/007 Implementation of activation function [tanh and ReLu]_en.vtt
16 kB
16 - Scratch Implementation of Neural Network/006 Implementation of activation function [step and sigmoid]_en.vtt
15 kB
16 - Scratch Implementation of Neural Network/003 Using dot product to code neuron layer_en.vtt
12 kB
17 - Tensorflow and Keras/006 Keras models (Important).mp4
123 MB
17 - Tensorflow and Keras/004 Examples.mp4
98 MB
17 - Tensorflow and Keras/001 What is Tensorflow.mp4
61 MB
17 - Tensorflow and Keras/002 Rank of Tensors.mp4
56 MB
17 - Tensorflow and Keras/007 Implementing Neural Network using Keras.mp4
47 MB
17 - Tensorflow and Keras/003 Program Elements of Tensorflow.mp4
44 MB
17 - Tensorflow and Keras/005 Introduction to Keras.mp4
41 MB
17 - Tensorflow and Keras/006 Keras models (Important)_en.vtt
13 kB
17 - Tensorflow and Keras/004 Examples_en.vtt
12 kB
17 - Tensorflow and Keras/002 Rank of Tensors_en.vtt
10 kB
17 - Tensorflow and Keras/001 What is Tensorflow_en.vtt
9.7 kB
17 - Tensorflow and Keras/003 Program Elements of Tensorflow_en.vtt
8.8 kB
17 - Tensorflow and Keras/007 Implementing Neural Network using Keras_en.vtt
5.5 kB
17 - Tensorflow and Keras/005 Introduction to Keras_en.vtt
5.2 kB
18 - TicTacToe Tensorflow/003 Preprocess the state.mp4
178 MB
18 - TicTacToe Tensorflow/009 Creating Neural Network Player.mp4
172 MB
18 - TicTacToe Tensorflow/002 Creating model for the Game.mp4
142 MB
18 - TicTacToe Tensorflow/008 TicTacToe Neural Network.mp4
140 MB
18 - TicTacToe Tensorflow/005 Training the model.mp4
58 MB
18 - TicTacToe Tensorflow/004 Define Independent (input) and Dependent (output) Variable.mp4
45 MB
18 - TicTacToe Tensorflow/001 Introduction to Project Files.mp4
43 MB
18 - TicTacToe Tensorflow/007 TicTacToe Model.mp4
30 MB
18 - TicTacToe Tensorflow/006 Predict from the model.mp4
12 MB
18 - TicTacToe Tensorflow/003 Preprocess the state_en.vtt
32 kB
18 - TicTacToe Tensorflow/002 Creating model for the Game_en.vtt
26 kB
18 - TicTacToe Tensorflow/009 Creating Neural Network Player_en.vtt
21 kB
18 - TicTacToe Tensorflow/008 TicTacToe Neural Network_en.vtt
21 kB
18 - TicTacToe Tensorflow/005 Training the model_en.vtt
9.5 kB
18 - TicTacToe Tensorflow/001 Introduction to Project Files_en.vtt
6.7 kB
18 - TicTacToe Tensorflow/004 Define Independent (input) and Dependent (output) Variable_en.vtt
6.2 kB
18 - TicTacToe Tensorflow/007 TicTacToe Model_en.vtt
5.3 kB
18 - TicTacToe Tensorflow/006 Predict from the model_en.vtt
1.5 kB
19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/002 Action Selection Policy.mp4
104 MB
19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/003 Exploration vs Exploitation.mp4
92 MB
19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/001 Introduction to Deep Q-Learning.mp4
76 MB
19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/004 Deep Convolution Q-Learning.mp4
40 MB
19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/001 Introduction to Deep Q-Learning_en.vtt
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19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/002 Action Selection Policy_en.vtt
12 kB
19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/003 Exploration vs Exploitation_en.vtt
11 kB
19 - Introduction to Deep Q-Learning and Deep Convolution Q-Learning/004 Deep Convolution Q-Learning_en.vtt
9.1 kB
20 - Convolution Neural Network/003 Convolution Layer.mp4
96 MB
20 - Convolution Neural Network/006 BackPropagation.mp4
53 MB
20 - Convolution Neural Network/001 Introduction to convolution neural network.mp4
31 MB
20 - Convolution Neural Network/002 How ConvNet works.mp4
29 MB
20 - Convolution Neural Network/004 RELU Layer.mp4
20 MB
20 - Convolution Neural Network/005 Pooling Layer.mp4
16 MB
20 - Convolution Neural Network/003 Convolution Layer_en.vtt
17 kB
20 - Convolution Neural Network/006 BackPropagation_en.vtt
8.1 kB
20 - Convolution Neural Network/001 Introduction to convolution neural network_en.vtt
5.2 kB
20 - Convolution Neural Network/002 How ConvNet works_en.vtt
5.0 kB
20 - Convolution Neural Network/004 RELU Layer_en.vtt
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20 - Convolution Neural Network/005 Pooling Layer_en.vtt
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21 - Deep Convolution Q-Learning Practical Pacman game/006 Build Convolution Neural Network.mp4
194 MB
21 - Deep Convolution Q-Learning Practical Pacman game/013 Training model for multiple iterations.mp4
115 MB
21 - Deep Convolution Q-Learning Practical Pacman game/002 Mean Squared Error.mp4
113 MB
21 - Deep Convolution Q-Learning Practical Pacman game/001 Introduction to Replay Buffer.mp4
103 MB
21 - Deep Convolution Q-Learning Practical Pacman game/005 Solving ROM error.mp4
102 MB
21 - Deep Convolution Q-Learning Practical Pacman game/009 Epsilon Greedy (Action-Selection Policy).mp4
102 MB
21 - Deep Convolution Q-Learning Practical Pacman game/014 Simulating the game and storing transitions.mp4
96 MB
21 - Deep Convolution Q-Learning Practical Pacman game/010 Training the neural network.mp4
90 MB
21 - Deep Convolution Q-Learning Practical Pacman game/008 Build Main Network and Target Network.mp4
84 MB
21 - Deep Convolution Q-Learning Practical Pacman game/004 Creating Environment.mp4
78 MB
21 - Deep Convolution Q-Learning Practical Pacman game/012 Preprocess the state.mp4
65 MB
21 - Deep Convolution Q-Learning Practical Pacman game/003 Main Network and Target Network.mp4
48 MB
21 - Deep Convolution Q-Learning Practical Pacman game/015 Testing the game.mp4
46 MB
21 - Deep Convolution Q-Learning Practical Pacman game/011 Fit the model.mp4
39 MB
21 - Deep Convolution Q-Learning Practical Pacman game/007 Store Transition in Replay buffer.mp4
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21 - Deep Convolution Q-Learning Practical Pacman game/006 Build Convolution Neural Network_en.vtt
32 kB
21 - Deep Convolution Q-Learning Practical Pacman game/002 Mean Squared Error_en.vtt
27 kB
21 - Deep Convolution Q-Learning Practical Pacman game/001 Introduction to Replay Buffer_en.vtt
21 kB
21 - Deep Convolution Q-Learning Practical Pacman game/013 Training model for multiple iterations_en.vtt
17 kB
21 - Deep Convolution Q-Learning Practical Pacman game/010 Training the neural network_en.vtt
17 kB
21 - Deep Convolution Q-Learning Practical Pacman game/009 Epsilon Greedy (Action-Selection Policy)_en.vtt
15 kB
21 - Deep Convolution Q-Learning Practical Pacman game/014 Simulating the game and storing transitions_en.vtt
14 kB
21 - Deep Convolution Q-Learning Practical Pacman game/008 Build Main Network and Target Network_en.vtt
13 kB
21 - Deep Convolution Q-Learning Practical Pacman game/005 Solving ROM error_en.vtt
13 kB
21 - Deep Convolution Q-Learning Practical Pacman game/003 Main Network and Target Network_en.vtt
11 kB
21 - Deep Convolution Q-Learning Practical Pacman game/004 Creating Environment_en.vtt
10 kB
21 - Deep Convolution Q-Learning Practical Pacman game/012 Preprocess the state_en.vtt
9.7 kB
21 - Deep Convolution Q-Learning Practical Pacman game/011 Fit the model_en.vtt
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21 - Deep Convolution Q-Learning Practical Pacman game/007 Store Transition in Replay buffer_en.vtt
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21 - Deep Convolution Q-Learning Practical Pacman game/015 Testing the game_en.vtt
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22 - Any games you want to suggest/001 Farewell.html
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