使用Python编写自我提升的AI,即使没有编程经验也可以轻松上手。
通过直觉训练深入了解关键的AI概念。
将你的AI技能应用到实际场景中。
获取每个AI构建过程中的可下载Python代码模板。

需要基本的Python知识。
无论你是初学者还是经验丰富的专业人士,这门课程将赋予你在不断发展的技术领域中有效应用AI并产生重大影响的能力。

Join the “Artificial Intelligence A-Z 2023” course and harness the combined power of Data Science, Machine Learning, and Deep Learning to create cutting-edge AI solutions for real-world applications.

Start coding self-improving AI using Python, even with no prior coding experience.
Gain a deep understanding of key AI concepts through intuition training.
Apply your AI skills to real-world scenarios.
Access downloadable Python code templates for every AI built in the course.

Requires Basic Python knowledge
Whether you’re a beginner or an experienced professional, this course empowers you to effectively apply AI and make a significant impact in the ever-evolving field of technology.

  • 教程编号:2084721761
  • 教程语言:英语 / 无字幕
  • 安全扫描:无病毒无插件 / 云查杀 Virustotal Virscan
  • 培训机构:未知
  • 文件大小:2.02GB
  • 文件格式:视频 / 文档 / 图文
  • 压缩软件:7ZIP
  • 视频播放:完美解码

教程目录
Artificial Intelligence A-Z 2023
  ├─01 Welcome to the course
  │      001 Why AI.mkv
  │      002 Course Structure.html
  │      003 BONUS Learning Paths.html
  │      004 Installing Anaconda.mkv
  │      005 BONUS Meet Your Instructors.html
  │      006 Updates on Udemy Reviews.mkv
  │      007 Artificial-Intelligence-A-Z-Learn-How-To-Build-An-AI-2.pdf
  │      007 This PDF resource will help you a lot.html
  │      008 FAQBot.html
  ├─02 ---------- Part 0 - Fundamentals Of Reinforcement Learning ----------
  │      009 Welcome to Part 0 - Fundamentals of Reinforcement Learning.html
  ├─03 Q-Learning Intuition
  │      010 Plan of Attack.mkv
  │      011 What is reinforcement learning.mkv
  │      012 The Bellman Equation.mp4
  │      013 The Plan.mp4
  │      014 Markov Decision Process.mp4
  │      015 Policy vs Plan.mp4
  │      016 Adding a Living Penalty.mp4
  │      017 Q-Learning Intuition.mp4
  │      018 Temporal Difference.mp4
  ├─04 Q-Learning Visualization
  │      019 Q-Learning Visualization.mp4
  ├─05 ---------- Part 1 - Deep Q-Learning ----------
  │      020 Welcome to Part 1 - Deep Q-Learning.html
  ├─06 Deep Q-Learning Intuition
  │      021 Plan of Attack.mp4
  │      022 Deep Q-Learning Intuition - Learning.mp4
  │      023 Deep Q-Learning Intuition - Acting.mp4
  │      024 Experience Replay.mp4
  │      025 Action Selection Policies.mp4
  ├─07 Deep Q-Learning Implementation
  │      026 Plan of Attack.html
  │      027 Where to get the Materials.html
  │      028 Getting Started.mp4
  │      029 Self Driving Car - Step 1.mp4
  │      030 Self Driving Car - Step 2.mkv
  │      031 Self Driving Car - Step 3.mkv
  │      032 Self Driving Car - Step 4.mkv
  │      033 Self Driving Car - Step 5.mkv
  │      034 Self Driving Car - Step 6.mp4
  │      035 Self Driving Car - Step 7.mp4
  │      036 Self Driving Car - Step 8.mp4
  │      037 Self Driving Car - Step 9.mp4
  │      038 Self Driving Car - Step 10.mp4
  │      039 Self Driving Car - Step 11.mp4
  │      040 Self Driving Car - Step 12.mp4
  │      041 Self Driving Car - Step 13.mp4
  │      042 Self Driving Car - Step 14.mp4
  │      043 Self Driving Car - Step 15.mp4
  │      044 Self Driving Car - Step 16.mp4
  ├─08 Deep Q-Learning Visualization
  │      045 Self Driving Car - Level 1.mp4
  │      046 Self Driving Car - Level 2.mp4
  │      047 Self Driving Car - Level 3.mp4
  │      048 Self Driving Car - Level 4.mp4
  │      049 Challenge Solutions.html
  ├─09 ---------- Part 2 - Deep Convolutional Q-Learning ----------
  │      050 Welcome to Part 2 - Deep Convolutional Q-Learning.html
  ├─10 Deep Convolutional Q-Learning Intuition
  │      051 Plan of Attack.mp4
  │      052 Deep Convolutional Q-Learning Intuition.mp4
  │      053 Eligibility Trace.mp4
  ├─11 Deep Convolutional Q-Learning Implementation
  │      054 Plan of Attack.html
  │      055 Where to get the Materials.html
  │      056 Doom - Step 1.mp4
  │      057 Doom - Step 2.mp4
  │      058 Doom - Step 3.mp4
  │      059 Doom - Step 4.mp4
  │      060 Doom - Step 5.mp4
  │      061 Doom - Step 6.mp4
  │      062 Doom - Step 7.mp4
  │      063 Doom - Step 8.mp4
  │      064 Doom - Step 9.mp4
  │      065 Doom - Step 10.mp4
  │      066 Doom - Step 11.mp4
  │      067 Doom - Step 12.mp4
  │      068 Doom - Step 13.mp4
  │      069 Doom - Step 14.mp4
  │      070 Doom - Step 15.mp4
  │      071 Doom - Step 16.mp4
  │      072 Doom - Step 17.mp4
  ├─12 Deep Convolutional Q-Learning Visualization
  │      073 Watching our AI play Doom.mp4
  ├─13 ---------- Part 3 - A3C ----------
  │      074 Welcome to Part 3 - A3C.html
  ├─14 A3C Intuition
  │      075 Plan of Attack.mp4
  │      076 The three As in A3C.mp4
  │      077 Actor-Critic.mp4
  │      078 Asynchronous.mp4
  │      079 Advantage.mp4
  │      080 LSTM Layer.mp4
  ├─15 A3C Implementation
  │      081 Plan of Attack.html
  │      082 Where to get the Materials.html
  │      083 Breakout - Step 1.mp4
  │      084 Breakout - Step 2.mp4
  │      085 Breakout - Step 3.mp4
  │      086 Breakout - Step 4.mp4
  │      087 Breakout - Step 5.mp4
  │      088 Breakout - Step 6.mp4
  │      089 Breakout - Step 7.mp4
  │      090 Breakout - Step 8.mp4
  │      091 Breakout - Step 9.mp4
  │      092 Breakout - Step 10.mp4
  │      093 Breakout - Step 11.mp4
  │      094 Breakout - Step 12.mp4
  │      095 Breakout - Step 13.mp4
  │      096 Breakout - Step 14.mp4
  ├─16 A3C Visualization
  │      097 Watching our AI play Breakout.mp4
  │      098 THANK YOU bonus video.mp4
  ├─17 Annex 1 Artificial Neural Networks
  │      099 What is Deep Learning.mp4
  │      100 Plan of Attack.mp4
  │      101 The Neuron.mp4
  │      102 The Activation Function.mp4
  │      103 How do Neural Networks work.mp4
  │      104 How do Neural Networks learn.mp4
  │      105 Gradient Descent.mp4
  │      106 Stochastic Gradient Descent.mp4
  │      107 Backpropagation.mp4
  ├─18 Annex 2 Convolutional Neural Networks
  │      108 Plan of Attack.mp4
  │      109 What are convolutional neural networks.mp4
  │      110 Step 1 - Convolution Operation.mkv
  │      111 Step 1(b) - ReLU Layer.mkv
  │      112 Step 2 - Pooling.mkv
  │      113 Step 3 - Flattening.mkv
  │      114 Step 4 - Full Connection.mkv
  │      115 Summary.mkv
  │      116 Softmax  Cross-Entropy.mkv
  └─19 Bonus Lectures
          117 YOUR SPECIAL BONUS.html

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