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AI Crash Course
最新章節(jié)：
Index
UnlockthepowerofartificialintelligencewithtopUdemyAIinstructorHadelindePonteves.KeyFeatures*RollupyoursleevesandstartprogrammingAImodels*Nomath,datascience,ormachinelearningbackgroundrequired*Packedwithhands-onexamples,illustrations,andclearstep-by-stepinstructions*5hands-onworkingprojectsputideasintoactionandshowstep-by-stephowtobuildintelligentsoftwareBookDescriptionAIischangingtheworld–andwiththisbook,anyonecanstartbuildingintelligentsoftware!Throughhisbest-sellingvideocourses,HadelindePonteveshastaughthundredsofthousandsofpeopletowriteAIsoftware.Now,forthefirsttime,hishands-on,energeticapproachisavailableasabook.Takingagraduatedapproachthatstartswiththebasicsbeforeeasingreadersintomorecomplicatedformulasandnotation,HadelinhelpsyouunderstandwhatyoureallyneedtobuildAIsystemswithreinforcementlearninganddeeplearning.Fivefullworkingprojectsputtheideasintoaction,showingstep-by-stephowtobuildintelligentsoftwareusingthebestandeasiesttoolsforAIprogramming:*GoogleColab*Python*TensorFlow*Keras*PyTorchAICrashCourseteacheseveryonetobuildanAItoworkintheirapplications.Onceyou’vereadthisbook,you’reonlylimitedbyyourimagination.Whatyouwilllearn*Masterthekeyskillsofdeeplearning,reinforcementlearning,anddeepreinforcementlearning*UnderstandQ-learninganddeepQ-learning*Learnfromfriendly,plainEnglishexplanationsandpracticalactivities*Buildfunprojects,includingavirtual-self-drivingcar*UseAItosolvereal-worldbusinessproblemsandwinclassicvideogames*Buildanintelligent,virtualrobotwarehouseworkerWhothisbookisforIfyouwanttoaddAItoyourskillset,thisbookisforyou.Itdoesn’trequiredatascienceormachinelearningknowledge.Justmathsbasics(highschoollevel).
目錄(87章)
倒序
- 封面
- AI Crash Course
- Why subscribe?
- Contributors
- About the author
- About the reviewers
- Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Get in touch
- 1 Welcome to the Robot World
- Beginning the AI journey
- Four different AI models
- Where can learning AI take you?
- Summary
- 2 Discover Your AI Toolkit
- The GitHub page
- Colaboratory
- Summary
- 3 Python Fundamentals – Learn How to Code in Python
- Displaying text
- Variables and operations
- Lists and arrays
- if statements and conditions
- for and while loops
- Functions
- Classes and objects
- Summary
- 4 AI Foundation Techniques
- What is Reinforcement Learning?
- The five principles of Reinforcement Learning
- Summary
- 5 Your First AI Model – Beware the Bandits!
- The multi-armed bandit problem
- The Thompson Sampling model
- Summary
- 6 AI for Sales and Advertising – Sell like the Wolf of AI Street
- Problem to solve
- Building the environment inside a simulation
- AI solution and intuition refresher
- Implementation
- Summary
- 7 Welcome to Q-Learning
- The Maze
- The whole Q-learning process
- Summary
- 8 AI for Logistics – Robots in a Warehouse
- Building the environment
- Implementation
- Summary
- 9 Going Pro with Artificial Brains – Deep Q-Learning
- Predicting house prices
- Deep learning theory
- Deep Q-learning
- Summary
- 10 AI for Autonomous Vehicles – Build a Self-Driving Car
- Building the environment
- AI solution refresher
- Implementation
- The demo
- Summary
- 11 AI for Business – Minimize Costs with Deep Q-Learning
- Problem to solve
- Building the environment
- AI solution
- The demo
- Recap – The general AI framework/Blueprint
- Summary
- 12 Deep Convolutional Q-Learning
- What are CNNs used for?
- How do CNNs work?
- Deep convolutional Q-learning
- Summary
- Chapter 13 AI for Games – Become the Master at Snake
- Problem to solve
- Building the environment
- AI solution
- Implementation
- The demo
- Summary
- 14 Recap and Conclusion
- Recap – The general AI framework/blueprint
- Exploring what's next for you in AI
- Other Books You May Enjoy
- Leave a review - let other readers know what you think
- Index 更新時間：2021-03-26 16:23:07
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