习学化强

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2020-04-13 17:52:00
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视频选集
(32/103)
001 Why AI
05:12
002 Introduction
03:52
006 Plan of Attack
04:05
007 Updates on Udemy Reviews
02:34
008 What is reinforcement learning
11:28
009 The Bellman Equation
18:26
010 The Plan
02:13
011 Markov Decision Process
16:28
013 Adding a Living Penalty
09:48
014 Q-Learning Intuition
14:47
015 Temporal Difference
19:28
016 Q-Learning Visualization
13:32
018 Plan of Attack
02:18
019 Deep Q-Learning Intuition - Learning
15:16
020 Deep Q-Learning Intuition - Acting
06:07
021 Experience Replay
15:46
022 Action Selection Policies
16:24
026 Windows Option 2 - Part A Installing Ubuntu on Windows
14:08
028 Mac or Linux Installing Anaconda
07:09
029 Mac or Linux Installing PyTorch and Kivy
06:43
031 Getting Started
05:42
032 Self Driving Car - Step 1
09:16
033 Self Driving Car - Step 2
16:19
034 Self Driving Car - Step 3
06:46
035 Self Driving Car - Step 4
14:25
036 Self Driving Car - Step 5
06:00
037 Self Driving Car - Step 6
06:02
038 Self Driving Car - Step 7
05:47
039 Self Driving Car - Step 8
10:52
040 Self Driving Car - Step 9
17:28
041 Self Driving Car - Step 10
13:52
042 Self Driving Car - Step 11
15:22
043 Self Driving Car - Step 12
12:58
044 Self Driving Car - Step 13
12:29
045 Self Driving Car - Step 14
02:54
046 Self Driving Car - Step 15
05:30
047 Self Driving Car - Step 16
07:20
048 Self Driving Car - Level 1
08:52
049 Self Driving Car - Level 2
04:40
050 Self Driving Car - Level 3
07:22
051 Self Driving Car - Level 4
06:10
054 Plan of Attack
03:28
055 Deep Convolutional Q-Learning Intuition
07:14
056 Eligibility Trace
08:39
059 Installing Open AI Gym Walk Through (Mac Version)
04:54
060 Installing Open AI Gym Walk Through (Ubuntu Version)
05:37
062 Doom - Step 1
05:56
063 Doom - Step 2
09:43
064 Doom - Step 3
09:53
065 Doom - Step 4
10:36
066 Doom - Step 5
14:17
067 Doom - Step 6
06:33
068 Doom - Step 7
04:41
069 Doom - Step 8
06:40
070 Doom - Step 9
03:45
071 Doom - Step 10
07:52
072 Doom - Step 11
06:34
073 Doom - Step 12
04:15
074 Doom - Step 13
06:50
075 Doom - Step 14
15:33
076 Doom - Step 15
08:28
077 Doom - Step 16
10:39
078 Doom - Step 17
19:39
079 Watching our AI play Doom
19:23
081 Plan of Attack
03:41
082 The three As in A3C
04:46
083 Actor-Critic
06:37
084 Asynchronous
11:44
085 Advantage
15:22
086 LSTM Layer
15:37
088 Breakout - Step 1
10:09
089 Breakout - Step 2
08:02
090 Breakout - Step 3
12:25
091 Breakout - Step 4
12:59
092 Breakout - Step 5
10:34
093 Breakout - Step 6
11:47
094 Breakout - Step 7
07:47
095 Breakout - Step 8
11:31
096 Breakout - Step 9
11:32
097 Breakout - Step 10
08:06
098 Breakout - Step 11
05:07
099 Breakout - Step 12
15:40
100 Breakout - Step 13
08:23
101 Breakout - Step 14
05:23
102 Breakout - Step 15
10:53
103 What is Deep Learning
12:35
104 Plan of Attack
02:53
105 The Neuron
16:16
106 The Activation Function
08:30
107 How do Neural Networks work
12:49
108 How do Neural Networks learn
13:00
109 Gradient Descent
10:14
110 Stochastic Gradient Descent
08:46
111 Backpropagation
05:23
112 Plan of Attack
03:33
113 What are convolutional neural networks
15:50
114 Step 1 - Convolution Operation
16:39
115 Step 1(b) - ReLU Layer
06:42
116 Step 2 - Pooling
14:14
117 Step 3 - Flattening
01:54
118 Step 4 - Full Connection
19:26
119 Summary
04:21
120 Softmax Cross-Entropy
18:21
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