Course Content
01 – Welcome to the course!
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002 Why AI.mp4
05:10
03 – Q-Learning Intuition
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001 Plan of Attack.mp4
04:03
002 What is reinforcement learning.mp4
11:26
003 The Bellman Equation.mp4
18:24
004 The Plan.mp4
02:12
005 Markov Decision Process.mp4
16:26
006 Policy vs Plan.mp4
12:55
007 Adding a Living Penalty.mp4
09:47
008 Q-Learning Intuition.mp4
14:45
009 Temporal Difference.mp4
19:26
06 – Deep Q-Learning Intuition
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001 Plan of Attack.mp4
02:17
002 Deep Q-Learning Intuition – Learning.mp4
15:15
003 Deep Q-Learning Intuition – Acting.mp4
06:06
004 Experience Replay.mp4
15:45
005 Action Selection Policies.mp4
16:22
07 – Deep Q-Learning Implementation
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012 Deep Q-Learning Implementation – Step 11.mp4
07:35
021 Deep Q-Learning Implementation – Step 20.mp4
05:44
020 video.mp4
00:11
020 Deep Q-Learning Implementation – Step 19.mp4
05:18
019 Deep Q-Learning Implementation – Step 18.mp4
20:26
018 Deep Q-Learning Implementation – Step 17.mp4
09:38
017 Deep Q-Learning Implementation – Step 16.mp4
05:37
016 Deep Q-Learning Implementation – Step 15.mp4
02:09
015 Deep Q-Learning Implementation – Step 14.mp4
06:47
014 Deep Q-Learning Implementation – Step 13.mp4
08:54
013 Deep Q-Learning Implementation – Step 12.mp4
08:58
002 Deep Q-Learning Implementation – Step 1.mp4
06:59
011 Deep Q-Learning Implementation – Step 10.mp4
07:39
010 Deep Q-Learning Implementation – Step 9.mp4
08:16
009 Deep Q-Learning Implementation – Step 8.mp4
03:07
008 Deep Q-Learning Implementation – Step 7.mp4
02:43
007 Deep Q-Learning Implementation – Step 6.mp4
03:54
006 Deep Q-Learning Implementation – Step 5.mp4
05:45
005 Deep Q-Learning Implementation – Step 4.mp4
03:57
004 Deep Q-Learning Implementation – Step 3.mp4
08:23
003 Deep Q-Learning Implementation – Step 2.mp4
06:24
09 – Deep Convolutional Q-Learning Intuition
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001 Plan of Attack.mp4
03:26
002 Deep Convolutional Q-Learning Intuition.mp4
07:12
003 Eligibility Trace.mp4
08:38
10 – Deep Convolutional Q-Learning Implementation
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002 Deep Convolutional Q-Learning Implementation – Step 1.mp4
05:16
003 Deep Convolutional Q-Learning Implementation – Step 2.mp4
05:30
004 Deep Convolutional Q-Learning Implementation – Step 3.mp4
11:05
005 Deep Convolutional Q-Learning Implementation – Step 4.mp4
04:33
006 Deep Convolutional Q-Learning Implementation – Step 5.mp4
07:14
007 Deep Convolutional Q-Learning Implementation – Step 6.mp4
04:05
008 Deep Convolutional Q-Learning Implementation – Step 7.mp4
02:03
009 Deep Convolutional Q-Learning Implementation – Step 8.mp4
08:20
010 Deep Convolutional Q-Learning Implementation – Step 9.mp4
09:47
011 Deep Convolutional Q-Learning Implementation – Step 10.mp4
07:37
012 Deep Convolutional Q-Learning Implementation – Step 11.mp4
14:13
013 Deep Convolutional Q-Learning Implementation – Step 12.mp4
03:54
013 video.mp4
00:27
014 Deep Convolutional Q-Learning Implementation – Step 13.mp4
05:23
12 – A3C Intuition
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001 Plan of Attack.mp4
03:39
002 The three A’s in A3C.mp4
04:44
003 Actor-Critic.mp4
06:36
004 Asynchronous.mp4
11:43
005 Advantage.mp4
15:20
006 LSTM Layer.mp4
15:36
13 – A3C Implementation
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002 A3C Implementation – Step 1.mp4
06:06
003 A3C Implementation – Step 2.mp4
05:52
004 A3C Implementation – Step 3.mp4
11:45
005 A3C Implementation – Step 4.mp4
08:25
006 A3C Implementation – Step 5.mp4
05:48
007 A3C Implementation – Step 6.mp4
07:13
008 A3C Implementation – Step 7.mp4
11:50
009 A3C Implementation – Step 8.mp4
18:28
010 A3C Implementation – Step 9.mp4
02:06
011 A3C Implementation – Step 10.mp4
09:58
012 A3C Implementation – Step 11.mp4
07:22
013 A3C Implementation – Step 12.mp4
09:58
014 A3C Implementation – Step 13.mp4
03:46
015 A3C Implementation – Step 14.mp4
20:21
015 video.mp4
00:39
016 A3C Implementation – Step 15.mp4
13:15
16 – LLMs Intuition
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001 Introduction to LLMs.mp4
01:40
002 Ingredients of an LLM.mp4
02:50
003 Who invented LLMs.mp4
01:23
004 How LLMs generate text.mp4
02:56
005 Inside an LLM – Under the Hood.mp4
04:43
006 LLM Parameters.mp4
02:04
007 LLM Context Window.mp4
02:07
008 Fine-Tuning LLMs.mp4
02:58
17 – LLMs Implementation
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002 Fine-Tuning LLMs with Hugging Face – Step 1.mp4
09:58
003 Fine-Tuning LLMs with Hugging Face – Step 2.mp4
12:12
004 Fine-Tuning LLMs with Hugging Face – Step 3.mp4
07:43
005 Fine-Tuning LLMs with Hugging Face – Step 4.mp4
05:11
006 Fine-Tuning LLMs with Hugging Face – Step 5.mp4
12:58
007 Fine-Tuning LLMs with Hugging Face – Step 6.mp4
06:42
008 Fine-Tuning LLMs with Hugging Face – Step 7.mp4
10:37
18 – THANK YOU
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001 THANK YOU Video.mp4
02:40
19 – Annex 1 Artificial Neural Networks
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001 What is Deep Learning.mp4
12:34
002 Plan of Attack.mp4
02:51
003 The Neuron.mp4
16:15
004 The Activation Function.mp4
08:29
005 How do Neural Networks work.mp4
12:47
006 How do Neural Networks learn.mp4
12:58
007 Gradient Descent.mp4
10:12
008 Stochastic Gradient Descent.mp4
08:44
009 Backpropagation.mp4
05:21
20 – Annex 2 Convolutional Neural Networks
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001 Plan of Attack.mp4
03:31
002 What are convolutional neural networks.mp4
15:49
003 Step 1 – Convolution Operation.mp4
16:38
004 Step 1(b) – ReLU Layer.mp4
06:41
005 Step 2 – Pooling.mp4
14:13
006 Step 3 – Flattening.mp4
01:52
007 Step 4 – Full Connection.mp4
19:24
008 Summary.mp4
04:19
009 Softmax & Cross-Entropy.mp4
18:19
21 – Extra Materials
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002 Extra Section – Q-Learning Part I.mp4
01:15
003 Extra Section – Q-Learning Part II.mp4
04:07
004 Extra Section – Q-Learning Part III.mp4
07:04
005 AI-Bonus-Section-4.mp4
04:40
005 Extra Section – Q-Learning Part IV.mp4
04:40
007 Extra Section – Q-Learning Section VI.mp4
08:04
[Last updated 6/2024] Artificial Intelligence A-Z 2024: Build 7 AI + LLM & ChatGPT (Udemy – Vietsub and Engsub)
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