Practical Simulations for Machine Learning Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent

(ebook) (audiobook) (audiobook)

Promocja Przejdź

Practical Simulations for Machine Learning Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent - okladka książki

Practical Simulations for Machine Learning Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent - audiobook MP3

Practical Simulations for Machine Learning Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent - audiobook CD

Autorzy:: Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent
Wydawnictwo:: O'Reilly Media (Z chęcią przeczytam książkę w języku polskim)
Ocena:: Bądź pierwszym, który oceni tę książkę
Stron:: 334
Dostępne formaty:: ePub

Mobi

Ebook (169,14 zł najniższa cena z 30 dni)

~~199,00 zł~~ (-15%)
169,14 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

(169,14 zł najniższa cena z 30 dni)

Przenieś na półkę

Do przechowalni

Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can synthesize artificial data using simulations to train traditional machine learning models.That’s just the beginning.

With this practical book, you’ll explore the possibilities of simulation- and synthesis-based machine learning and AI, concentrating on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential.

You'll learn how to:

Design an approach for solving ML and AI problems using simulations with the Unity engine
Use a game engine to synthesize images for use as training data
Create simulation environments designed for training deep reinforcement learning and imitation learning models
Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization
Train a variety of ML models using different approaches
Enable ML tools to work with industry-standard game development tools, using PyTorch, and the Unity ML-Agents and Perception Toolkits

Wybrane bestsellery

Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent - pozostałe książki

Promocja

Learn everything you need to know to use the powerful Unity engine to its full potential for 3D and 2D game development, simulation, artificial intelligence, and beyond. From the basics of scripting to techniques for interactivity, AI and behavior, animation, narrative, and networking, this flexible, mind-bogglingly popular engine is useful for any
- ePub + Mobi
Unity Development Cookbook. 2nd Edition

Paris Buttfield-Addison, Jon Manning, Tim Nugent

(186,15 zł najniższa cena z 30 dni)

186.15 zł ~~219.00 zł (-15%)~~
Promocja

What will you learn from this book?Swift is best known as Apple's programming language of choice for developing apps on iOS, iPadOS, macOS, watchOS, and tvOS. But it's far more versatile than that. Open source Swift is also gaining ground as a language for systems programming and server-side code, and it runs on Linux and Windows. So where do you s
- ePub + Mobi
Head First Swift

Paris Buttfield-Addison, Jon Manning

(220,15 zł najniższa cena z 30 dni)

220.15 zł ~~259.00 zł (-15%)~~
Promocja

Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift. Taking a task-based approach, you’ll learn how to build features that use powerful AI features to identify images, make predi
- ePub + Mobi
Practical Artificial Intelligence with Swift. From Fundamental Theory to Development of AI-Driven Apps

Mars Geldard, Jonathon Manning, Paris Buttfield-Addison

(169,14 zł najniższa cena z 30 dni)

169.14 zł ~~199.00 zł (-15%)~~
Promocja

Discover how to use the Unity game engine to its full potential for both 3D and 2D game development—from the basics of scripting to useful tricks in gameplay, behavior, and animation. With this problem-solving cookbook, you’ll get started in two ways:First, you’ll learn about the Unity game engine through brief recipes that teach specific features
- ePub + Mobi
Unity Game Development Cookbook. Essentials for Every Game

Paris Buttfield-Addison, Jon Manning, Tim Nugent

(169,14 zł najniższa cena z 30 dni)

169.14 zł ~~199.00 zł (-15%)~~
Promocja

Ready to make amazing games for the iPhone and iPad? With Apple’s Swift programming language, it’s never been easier. This updated cookbook provides detailed recipes for managing a wide range of common iOS game-development issues, ranging from 2D and 3D math, SpriteKit, and OpenGL to augmented reality with ARKit.You get simple, direct solutions to
- ePub + Mobi
iOS Swift Game Development Cookbook. Simple Solutions for Game Development Problems. 3rd Edition

Jonathon Manning, Paris Buttfield-Addison

(169,14 zł najniższa cena z 30 dni)

169.14 zł ~~199.00 zł (-15%)~~
Promocja

W tej książce w wyczerpujący sposób opisano proces tworzenia gier. Wyjaśniono tu zarówno podstawowe, jak i bardziej zaawansowane pojęcia i techniki związane ze stosowaniem środowiska Unity. Najpierw przedstawiono podstawowe informacje na temat Unity. Zaprezentowano struktury gier, grafiki, skryptów, dźwięków, fizyki oraz systemów cząsteczkowych. Następnie opisano pełny proces tworzenia gry 2D oraz 3D. W książce omówiono także bardziej zaawansowane zagadnienia związane ze stosowaniem środowiska Unity, takie jak programowanie oświetlenia sceny, graficzny interfejs użytkownika, rozszerzanie edytora Unity, sklep Unity asset store, a także wdrażanie gier oraz cechy zależne od platform systemowych.
- Druk
- PDF + ePub + Mobi
Unity. Tworzenie gier mobilnych

Jon Manning, Paris Buttfield-Addison

(40,20 zł najniższa cena z 30 dni)

43.55 zł ~~67.00 zł (-35%)~~
Promocja

Get valuable hands-on experience with Swift, the open source programming language developed by Apple. With this practical guide, skilled programmers with little or no knowledge of Apple development will learn how to code with the latest version of Swift by developing a working iOS app from start to finish.You’ll begin with Swift programming basics—
- ePub + Mobi
Learning Swift. Building Apps for macOS, iOS, and Beyond. 3rd Edition

Jonathon Manning, Paris Buttfield-Addison, Tim Nugent

(143,65 zł najniższa cena z 30 dni)

143.65 zł ~~169.00 zł (-15%)~~
Promocja

Do you want to build mobile games, but lack game development experience? No problem. This practical guide shows you how to create beautiful, interactive content for iOS and Android devices with the Unity game engine.Authors Jon Manning and Paris Buttfield-Addison (iOS Swift Game Development Cookbook) provide a top-to-bottom overview of Unity’s feat
- ePub + Mobi
Mobile Game Development with Unity. Build Once, Deploy Anywhere

Jonathon Manning, Paris Buttfield-Addison

(143,65 zł najniższa cena z 30 dni)

143.65 zł ~~169.00 zł (-15%)~~
Promocja

Kerbal Space Program (KSP) is a critically acclaimed, bestselling space flight simulator game. It’s making waves everywhere from mainstream media to the actual space flight industry, but it has a bit of a learning curve. In this book, five KSP nerds—including an astrophysicist—teach you everything you need to know to get a nation of tiny green peop
- ePub + Mobi
The Kerbal Player's Guide. The Easiest Way to Launch a Space Program

Jon Manning, Tim Nugent, Paul Fenwick

(109,65 zł najniższa cena z 30 dni)

109.65 zł ~~129.00 zł (-15%)~~
Promocja

Apple Watch is the sort of science-fiction gadget that people used to dream about as kids. What kinds of apps do you envision for this new device? If you’re comfortable using OS X, Xcode, and iOS—and familiar with Swift—this concise book shows you the basics of building your own apps for this wrist-mounted computer with Apple’s WatchKit framework.Y
- ePub + Mobi
Swift Development for the Apple Watch. An Intro to the WatchKit Framework, Glances, and Notifications

Jon Manning, Paris Buttfield-Addison

(67,92 zł najniższa cena z 30 dni)

67.92 zł ~~79.89 zł (-15%)~~

Ebooka "Practical Simulations for Machine Learning" przeczytasz na:

czytnikach Inkbook, Kindle, Pocketbook, Onyx Booxs i innych
systemach Windows, MacOS i innych

systemach Windows, Android, iOS, HarmonyOS
na dowolnych urządzeniach i aplikacjach obsługujących formaty: PDF, EPub, Mobi

Masz pytania? Zajrzyj do zakładki Pomoc »

Oceny i opinie klientów: Practical Simulations for Machine Learning Paris Buttfield-Addison, Mars Buttfield-Addison, Tim Nugent

(0)

Szczegóły książki

ISBN Ebooka:: 978-14-920-8987-2, 9781492089872
Data wydania ebooka :: 2022-06-07 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: angielski
Rozmiar pliku ePub:: 16.6MB
Rozmiar pliku Mobi:: 27MB

Zgłoś erratę
Kategorie:
Uczenie maszynowe

Dostępność produktu

Produkt nie został jeszcze oceniony pod kątem ułatwień dostępu lub nie podano żadnych informacji o ułatwieniach dostępu lub są one niewystarczające. Prawdopodobnie Wydawca/Dostawca jeszcze nie umożliwił dokonania walidacji produktu lub nie przekazał odpowiednich informacji na temat jego dostępności.

Spis treści książki

Preface
- Resources Used in This Book
- Audience and Approach
- Organization of This Book
- Using This Book
  - Our Tasks
- Conventions Used in This Book
- Using Code Examples
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
I. The Basics of Simulation and Synthesis
1. Introducing Synthesis and Simulation
- A Whole New World of ML
- The Domains
  - Simulation
  - Synthesis
- The Tools
  - Unity
  - PyTorch via Unity ML-Agents
  - Unity ML-Agents Toolkit
  - Unity Perception
- The Techniques
  - Reinforcement Learning
  - Imitation Learning
  - Hybrid Learning
  - Summary of Techniques
- Projects
  - Simulation Projects
  - Synthesis Projects
- Summary and Next Steps
2. Creating Your First Simulation
- Everybody Remembers Their First Simulation
- Our Simulation
- Setting Up
- Creating the Unity Project
- Packages All the Way Down
- The Environment
  - The Floor
  - The Target
- The Agent
  - Starting and Stopping the Agent
  - Letting the Agent Observe the Environment
  - Letting the Agent Take Actions in the Environment
  - Giving the Agent Rewards for Its Behavior
  - Finishing Touches for the Agent
  - Providing a Manual Control System for the Agent
- Training with the Simulation
  - Monitoring the Training with TensorBoard
  - When the Training Is Complete
- Whats It All Mean?
- Coming Up Next
3. Creating Your First Synthesized Data
- Unity Perception
- The Process
  - Using Unity Perception
- Creating the Unity Project
- Creating a Scene
  - Getting the Dice Models
  - A Very Simple Scene
- Preparing for Synthesis
  - Testing the Scenario
  - Setting Up Our Labels
  - Checking the Labels
- Whats Next?
II. Simulating Worlds for Fun and Profit
4. Creating a More Advanced Simulation
- Setting Up the Block Pusher
- Creating the Unity Project
- The Environment
  - The Floor
  - The Walls
  - The Block
  - The Goal
  - The Agent
  - The Environment
- Training and Testing
5. Creating a Self-Driving Car
- Creating the Environment
  - The Track
  - The Car
  - Setting Up for ML
- Training the Simulation
  - Training
  - When the Training Is Complete
6. Introducing Imitation Learning
- Simulation Environment
  - Creating the Ground
  - Creating the Goal
  - The Names Ball, Agent Ball
  - The Camera
- Building the Simulation
  - Agent Components
  - Adding Heuristic Controls
  - Observations and Goals
- Generating Data and Training
  - Creating Training Data
  - Configuring for Training
  - Begin Training
  - Running with Our Trained Model
- Understanding and Using Imitation Learning
7. Advanced Imitation Learning
- Meet GAIL
- Do What I Say and Do
  - A GAIL Scenario
  - Modifying the Agents Actions
  - Modifying the Observations
  - Resetting the Agent
  - Updating the Agent Properties
  - Demonstration Time
- Training with GAIL
- Running It and Beyond
8. Introducing Curriculum Learning
- Curriculum Learning in ML
- A Curriculum Learning Scenario
- Building in Unity
  - Creating the Ground
  - Creating the Target
  - The Agent
- Building the Simulation
  - Making the Agent an Agent
  - Actions
  - Observations
  - Heuristic Controls for Humans
- Creating the Curriculum
  - Resetting the Environment
  - Curriculum Config
- Training
- Running It
- Curriculum Versus Other Approaches
- Whats Next?
9. Cooperative Learning
- A Simulation for Cooperation
  - Building the Environment in Unity
    - Assembling the floor and walls
    - Adding the goal
    - Blocks of differing sizes
    - The agents
  - Coding the Agents
  - Coding the Environment Manager
  - Coding the Blocks
  - Finalizing the Environment and Agents
- Training for Cooperation
- Cooperative Agents or One Big Agent
10. Using Cameras in Simulations
- Observations and Camera Sensors
- Building a Camera-Only Agent
  - Coding the Camera-Only Agent
  - Adding a New Camera for the Agent
  - Seeing What the Agents Camera Sees
- Training the Camera-Based Agent
- Cameras and You
11. Working with Python
- Python All the Way Down
- Experimenting with an Environment
- What Can Be Done with Python?
  - Using Your Own Environment
  - Completely Custom Training
- Whats the Point of Python?
12. Under the Hood and Beyond
- Hyperparameters (and Just Parameters)
  - Parameters
  - Reward Parameters
  - Hyperparameters
- Algorithms
- Unity Inference Engine and Integrations
  - Using the ML-Agents Gym Wrapper
    - Unity environments and OpenAI Baselines
  - Side Channels
    - Engine configuration channel
    - Environment parameters channel
III. Synthetic Data, Real Results
13. Creating More Advanced Synthesized Data
- Adding Random Elements to the Scene
  - Randomizing the Floor Color
  - Randomizing the Camera Position
- Whats Next?
14. Synthetic Shopping
- Creating the Unity Environment
- A Perception Camera
  - Testing the labeler
  - Adding randomizers
- Faking It Until You Make It
- Using Synthesized Data
Index