- Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI
- Understand the theory behind Artificial Intelligence
- Learn How to Make a virtual Self Driving Car
- Understand Artificial Intelligence in Detail
- Fully-Connected Neural Networks & More
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Course Curriculum
01 Welcome to the course
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03 Q-Learning Intuition
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- 006 Plan of Attack (4:04)
- 007 What is reinforcement learning (11:27)
- 008 The Bellman Equation (18:25)
- 009 The Plan (2:12)
- 010 Markov Decision Process (16:27)
- 011 Policy vs Plan (12:55)
- 012 Adding a Living Penalty (9:47)
- 013 Q-Learning Intuition (14:46)
- 014 Temporal Difference (19:27)
- 015 Q-Learning Visualization (13:31)
05 Deep Q-Learning Intuition
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06 Installation for Part 1
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07 Creating the environment
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08 Building an AI
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- 034 Self Driving Car - Step 3 (6:45)
- 035 Self Driving Car - Step 4 (14:24)
- 036 Self Driving Car - Step 5 (5:59)
- 037 Self Driving Car - Step 6 (6:01)
- 038 Self Driving Car - Step 7 (5:46)
- 039 Self Driving Car - Step 8 (10:51)
- 040 Self Driving Car - Step 9 (17:27)
- 041 Self Driving Car - Step 10 (13:51)
- 042 Self Driving Car - Step 11 (15:21)
- 043 Self Driving Car - Step 12 (12:57)
- 044 Self Driving Car - Step 13 (12:28)
- 045 Self Driving Car - Step 14 (2:53)
- 046 Self Driving Car - Step 15 (5:29)
- 047 Self Driving Car - Step 16 (7:19)
09 Playing with the AI
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11 Deep Convolutional Q-Learning Intuition
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12 Installation for Part 2
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13 Building an AI
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- 061 Doom - Step 1 (5:55)
- 062 Doom - Step 2 (9:42)
- 063 Doom - Step 3 (9:52)
- 064 Doom - Step 4 (10:35)
- 065 Doom - Step 5 (14:16)
- 066 Doom - Step 6 (6:32)
- 067 Doom - Step 7 (4:40)
- 068 Doom - Step 8 (6:39)
- 069 Doom - Step 9 (3:44)
- 070 Doom - Step 10 (7:51)
- 071 Doom - Step 11 (6:33)
- 072 Doom - Step 12 (4:14)
- 073 Doom - Step 13 (6:49)
- 074 Doom - Step 14 (15:32)
- 075 Doom - Step 15 (8:27)
- 076 Doom - Step 16 (10:38)
- 077 Doom - Step 17 (19:38)
14 Playing with the AI
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16 A3C Intuition
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18 Building an AI
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- 087 Breakout - Step 1 (10:08)
- 088 Breakout - Step 2 (8:01)
- 089 Breakout - Step 3 (12:24)
- 090 Breakout - Step 4 (12:58)
- 091 Breakout - Step 5 (10:33)
- 092 Breakout - Step 6 (11:46)
- 093 Breakout - Step 7 (7:46)
- 094 Breakout - Step 8 (11:30)
- 095 Breakout - Step 9 (11:31)
- 096 Breakout - Step 10 (8:05)
- 097 Breakout - Step 11 (5:06)
- 098 Breakout - Step 12 (15:39)
- 099 Breakout - Step 13 (8:22)
- 100 Breakout - Step 14 (5:22)
- 101 Breakout - Step 15 (10:52)
19 Annex 1 Artificial Neural Networks
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20 Annex 2 Convolutional Neural Networks
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- 111 Plan of Attack (3:32)
- 112 What are convolutional neural networks (15:49)
- 113 Step 1 - Convolution Operation (16:38)
- 114 Step 1(b) - ReLU Layer (6:41)
- 115 Step 2 - Pooling (14:13)
- 116 Step 3 - Flattening (1:52)
- 117 Step 4 - Full Connection (19:25)
- 118 Summary (4:20)
- 119 Softmax Cross-Entropy (18:20)
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