Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT

سرفصل های دوره

Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications!

1 - Welcome to the course

1 - Welcome Challenge.html

2 - Why AI

3 - Course Structure.html

4 - EXTRA Use ChatGPT to Build AI More Efficiently.html

2 - Part 0 Fundamentals Of Reinforcement Learning

5 - Welcome to Part 0 Fundamentals of Reinforcement Learning.html

3 - QLearning Intuition

6 - Plan of Attack

7 - What is reinforcement learning

8 - The Bellman Equation

9 - The Plan

10 - Markov Decision Process

11 - Policy vs Plan

12 - Adding a Living Penalty

13 - QLearning Intuition

14 - Temporal Difference

4 - QLearning Implementation

15 - A QLearning Implementation for Process Optimization.html

15 - A-Q-Learning-Implementation-for-Process-Optimization.zip

5 - Part 1 Deep QLearning

16 - Welcome to Part 1 Deep QLearning.html

6 - Deep QLearning Intuition

17 - Plan of Attack

18 - Deep QLearning Intuition Learning

19 - Deep QLearning Intuition Acting

20 - Experience Replay

21 - Action Selection Policies

7 - Deep QLearning Implementation

22 - Get the Codes here.html

22 - Part-1-Deep-Q-Learning.zip

23 - Deep QLearning Implementation Step 1

24 - Deep QLearning Implementation Step 2

25 - Deep QLearning Implementation Step 3

26 - Deep QLearning Implementation Step 4

27 - Deep QLearning Implementation Step 5

28 - Deep QLearning Implementation Step 6

29 - Deep QLearning Implementation Step 7

30 - Deep QLearning Implementation Step 8

31 - Deep QLearning Implementation Step 9

32 - Deep QLearning Implementation Step 10

33 - Deep QLearning Implementation Step 11

34 - Deep QLearning Implementation Step 12

35 - Deep QLearning Implementation Step 13

36 - Deep QLearning Implementation Step 14

37 - Deep QLearning Implementation Step 15

38 - Deep QLearning Implementation Step 16

39 - Deep QLearning Implementation Step 17

40 - Deep QLearning Implementation Step 18

41 - Deep QLearning Implementation Step 19

41 - video

42 - Deep QLearning Implementation Step 20

8 - Part 2 Deep Convolutional QLearning

43 - Welcome to Part 2 Deep Convolutional QLearning.html

9 - Deep Convolutional QLearning Intuition

44 - Plan of Attack

45 - Deep Convolutional QLearning Intuition

46 - Eligibility Trace

10 - Deep Convolutional QLearning Implementation

47 - Get the Codes here.html

47 - Part-2-Deep-Convolutional-Q-Learning.zip

48 - Deep Convolutional QLearning Implementation Step 1

49 - Deep Convolutional QLearning Implementation Step 2

50 - Deep Convolutional QLearning Implementation Step 3

51 - Deep Convolutional QLearning Implementation Step 4

52 - Deep Convolutional QLearning Implementation Step 5

53 - Deep Convolutional QLearning Implementation Step 6

54 - Deep Convolutional QLearning Implementation Step 7

55 - Deep Convolutional QLearning Implementation Step 8

56 - Deep Convolutional QLearning Implementation Step 9

57 - Deep Convolutional QLearning Implementation Step 10

58 - Deep Convolutional QLearning Implementation Step 11

59 - Deep Convolutional QLearning Implementation Step 12

59 - video

60 - Deep Convolutional QLearning Implementation Step 13

11 - Part 3 A3C

61 - Welcome to Part 3 A3C.html

12 - A3C Intuition

62 - Plan of Attack

63 - The three As in A3C

64 - ActorCritic

65 - Asynchronous

66 - Advantage

67 - LSTM Layer

13 - A3C Implementation

68 - Get the Codes here.html

68 - Part-3-A3C.zip

69 - A3C Implementation Step 1

70 - A3C Implementation Step 2

71 - A3C Implementation Step 3

72 - A3C Implementation Step 4

73 - A3C Implementation Step 5

74 - A3C Implementation Step 6

75 - A3C Implementation Step 7

76 - A3C Implementation Step 8

77 - A3C Implementation Step 9

78 - A3C Implementation Step 10

79 - A3C Implementation Step 11

80 - A3C Implementation Step 12

81 - A3C Implementation Step 13

82 - A3C Implementation Step 14

82 - video

83 - A3C Implementation Step 15

14 - THANK YOU

84 - THANK YOU Video

15 - Annex 1 Artificial Neural Networks

85 - What is Deep Learning

86 - Plan of Attack

87 - The Neuron

88 - The Activation Function

89 - How do Neural Networks work

90 - How do Neural Networks learn

91 - Gradient Descent

92 - Stochastic Gradient Descent

93 - Backpropagation

16 - Annex 2 Convolutional Neural Networks

94 - Plan of Attack

95 - What are convolutional neural networks

96 - Step 1 Convolution Operation

97 - Step 1b ReLU Layer

98 - Step 2 Pooling

99 - Step 3 Flattening

100 - Step 4 Full Connection

101 - Summary

102 - Softmax CrossEntropy

17 - Extra Materials

103 - Extra Section Intro.html

103 - q-learning-rl-2.zip

104 - Extra Section Q Learning

105 - Extra Section Q Learning Part II

106 - Extra Section Q Learning Part III

107 - AI-Bonus-Section-4

107 - Extra Section Q Learning Part IV

108 - Extra Section Q Learning Part V.html

109 - Extra Section Q Learning Section VI

18 - Congratulations Dont forget your Prize

110 - Huge Congrats for completing the challenge.html

111 - BONUS Cloud Skills for ML AI COUPON inside.html

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تولید کننده: Udemy