- Ocena:
- Bądź pierwszym, który oceni tę książkę
- Stron:
- 394
- Dostępne formaty:
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ePubMobi
Opis ebooka: Practical AI on the Google Cloud Platform
Working with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.
Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application.
- Learn key concepts for data science, machine learning, and deep learning
- Explore tools like Video AI and AutoML Tables
- Build a simple language processor using deep learning systems
- Perform image recognition using CNNs, transfer learning, and GANs
- Use Google's Dialogflow to create chatbots and conversational AI
- Analyze video with automatic video indexing, face detection, and TensorFlow Hub
- Build a complete working AI agent application
Wybrane bestsellery
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Supercharge your Python skills: Build stunning apps using Visual Studio Code Key Features Effectively use VS Code for designing efficient Python programs. Learn to develop applications and master the concepts of Python. Master the popular VS Code and the most popular programming language Pyt...
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Master the world's most dominant programming language Key Features Learn JavaScript fundamentals and advanced techniques. Advanced JavaScript ES2015 (ES6)+ concepts uncovered. Expert tips for optimizing code efficiency in JavaScript. Description JavaScript Masterclass is your comprehensive ...
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Unlock the power of automation: Master PowerShell in just 7 days Key Features Effortlessly navigate PowerShell's syntax and command structure. Master creating scripts and functions for efficient automation. Learn practical solutions for local and remote data management. Description "PowerSh...
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Connect, analyze, decide: Seamless integration of Tableau and Salesforce Key Features Successfully connect Tableau with Salesforce CRM. Use Tableau and Salesforce to analyze data and create dynamic visualizations. Translate analytical findings into tangible business strategies and actions. ...
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Getting up to speed with the latest C++ features Key Features Learning about the newest features of C++23 and C++20. Understanding how to make your code cleaner, faster, and easier. Enhancing the safety, readability, and performance of your code. Description C++ continues to remain relevant...
O autorze ebooka
Micheal Lanham - pozostałe książki
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Leverage the power of AI in coding, graphics, design, and intelligence to join the next wave in game development Key Features Teaches the core concepts of game development for 2D, 3D, and AI games. Uses AI to assist and guide the reader across several facets of game development. Learn to cre...
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The AI revolution is here and it is embracing games. Game developers are being challenged to enlist cutting edge AI as part of their games. In this book, you will look at the journey of building capable AI using reinforcement learning algorithms and techniques. You will learn to solve complex tas...
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This book will give you an in-depth view of the potential of deep learning and neural networks in game development. You will also learn to use neural nets combined with reinforcement learning for new types of game AI.
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Unity Machine Learning Agents allows researchers and developers to create games and simulations using the Unity Editor which serve as environments where intelligent agents can be trained with machine learning methods through a simple-to-use Python API.This book takes you from the basics of Reinfo...(64.73 zł najniższa cena z 30 dni)
89.34 zł
89.90 zł(-1%) -
Are you a mobile developer or a web developer who is looking to create immersive and cool Augmented Reality apps with the latest Google ARCore platform? This book will help you to jump right into developing with ARCore and help you create a step by step AR app with it easily. This book will teach...(93.19 zł najniższa cena z 30 dni)
92.99 zł
119.00 zł(-22%) -
Game Audio is one of the key components in making a game successful and it is quite popular in the gaming industry. So if you are a game developer with an eye on capturing the gamer market then this book is the right solution for you. In this book, we will take you through a step by step journey ...(106.86 zł najniższa cena z 30 dni)
106.76 zł
139.00 zł(-23%) -
The heyday of location-based augmented reality games is upon us. They have been around for a few years, but the release of Pokémon Go was a gamechanger that catalyzed the market and led to a massive surge in demand. Now is the time for novice and experienced developers alike to turn their ...(109.83 zł najniższa cena z 30 dni)
109.63 zł
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Ebooka "Practical AI on the Google Cloud Platform" przeczytasz na:
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czytnikach Inkbook, Kindle, Pocketbook, Onyx Boox i innych
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systemach Windows, MacOS i innych
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systemach Windows, Android, iOS, HarmonyOS
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na dowolnych urządzeniach i aplikacjach obsługujących formaty: PDF, EPub, Mobi
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Audiobooka "Practical AI on the Google Cloud Platform" posłuchasz:
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w aplikacji Ebookpoint na Android, iOS, HarmonyOs
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na systemach Windows, MacOS i innych
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na dowolnych urządzeniach i aplikacjach obsługujących format MP3 (pliki spakowane w ZIP)
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Kurs Video "Practical AI on the Google Cloud Platform" zobaczysz:
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w aplikacjach Ebookpoint i Videopoint na Android, iOS, HarmonyOs
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na systemach Windows, MacOS i innych z dostępem do najnowszej wersji Twojej przeglądarki internetowej
Szczegóły ebooka
- ISBN Ebooka:
- 978-14-920-7576-9, 9781492075769
- Data wydania ebooka:
- 2020-10-20 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@ebookpoint.pl.
- Język publikacji:
- angielski
- Rozmiar pliku ePub:
- 19.8MB
- Rozmiar pliku Mobi:
- 41.0MB
Spis treści ebooka
- Preface
- Who Should Read This Book
- Why I Wrote This Book
- Navigating This Book
- A Note on the Google AI Platform
- Things You Need for This Book
- Conventions Used in This Book
- Using Code Examples
- OReilly Online Learning
- How to Contact Us
- Acknowledgments
- 1. Data Science and Deep Learning
- What Is Data Science?
- Classification and Regression
- Regression
- Goodness of Fit
- Classification with Logistic Regression
- Multivariant Regression and Classification
- Data Discovery and Preparation
- Bad Data
- Training, Test, and Validation Data
- Good Data
- Preparing Data
- Questioning Your Data
- The Basics of Deep Learning
- The Perceptron Game
- Understanding How Networks Learn
- Backpropagation
- Optimization and Gradient Descent
- Vanishing or Exploding Gradients
- SGD and Batching Samples
- Batch Normalization and Regularization
- Activation Functions
- Loss Functions
- Building a Deep Learner
- Optimizing a Deep Learning Network
- Overfitting and Underfitting
- Network Capacity
- Conclusion
- Game Answers
- Game 5
- Game Answers
- 2. AI on the Google Cloud Platform
- AI Services on GCP
- The AI Hub
- AI Platform
- AI Building Blocks
- AI Services on GCP
- Google Colab Notebooks
- Building a Regression Model with Colab
- AutoML Tables
- The Cloud Shell
- Managing Cloud Data
- Conclusion
- 3. Image Analysis and Recognition on the Cloud
- Deep Learning with Images
- Enter Convolution Neural Networks
- Deep Learning with Images
- Image Classification
- Set Up and Load Data
- Inspecting Image Data
- Channels and CNN
- Building the Model
- Training the AI Fashionista to Discern Fashions
- Improving Fashionista AI 2.0
- Transfer Learning Images
- Identifying Cats or Dogs
- Transfer Learning a Keras Application Model
- Training Transfer Learning
- Retraining a Better Base Model
- Object Detection and the Object Detection Hub API
- YOLO for Object Detection
- Generating Images with GANs
- Conclusion
- 4. Understanding Language on the Cloud
- Natural Language Processing, with Embeddings
- Understanding One-Hot Encoding
- Vocabulary and Bag-of-Words
- Word Embeddings
- Understanding and Visualizing Embeddings
- Natural Language Processing, with Embeddings
- Recurrent Networks for NLP
- Recurrent Networks for Memory
- Classifying Movie Reviews
- RNN Variations
- Neural Translation and the Translation API
- Sequence-to-Sequence Learning
- Translation API
- AutoML Translation
- Natural Language API
- BERT: Bidirectional Encoder Representations from Transformers
- Semantic Analysis with BERT
- Document Matching with BERT
- BERT for General Text Analysis
- Conclusion
- 5. Chatbots and Conversational AI
- Building Chatbots with Python
- Developing Goal-Oriented Chatbots with Dialogflow
- Building Text Transformers
- Loading and Preparing Data
- Understanding Attention
- Masking and the Transformer
- Encoding and Decoding the Sequence
- Training Conversational Chatbots
- Compiling and Training the Model
- Evaluation and Prediction
- Using Transformer for Conversational Chatbots
- Conclusion
- 6. Video Analysis on the Cloud
- Downloading Video with Python
- Video AI and Video Indexing
- Building a Webcam Face Detector
- Understanding Face Embeddings
- Recognizing Actions with TF Hub
- Exploring the Video Intelligence API
- Conclusion
- 7. Generators in the Cloud
- Unsupervised Learning with Autoencoders
- Mapping the Latent Space with VAE
- Unsupervised Learning with Autoencoders
- Generative Adversarial Network
- Exploring the World of Generators
- A Path for Exploring GANs
- Translating Images with Pix2Pix and CycleGAN
- Translating unpaired images with CycleGAN
- Attention and the Self-Attention GAN
- Understanding Self-Attention
- Self-Attention for Image ColorizationDeOldify
- Conclusion
- 8. Building AI Assistants in the Cloud
- Needing Smarter Agents
- Introducing Reinforcement Learning
- Multiarm Bandits and a Single State
- Choosing the greedy action
- Multiarm Bandits and a Single State
- Adding Quality and Q Learning
- Playing with OpenAI Gym
- Exploration Versus Exploitation
- Balancing exploration and exploitation
- Understanding Temporal Difference Learning
- Episodic versus continuous learning
- On policy versus off policy
- Model-based versus model-free
- Discrete versus continuous actions or states
- Building an Example Agent with Expected SARSA
- Using SARSA to Drive a Taxi
- Understanding hierarchical states
- Using SARSA to Drive a Taxi
- Learning State Hierarchies with Hierarchical Reinforcement Learning
- Functional decomposition with MAXQ
- Bringing Deep to Reinforcement Learning
- Deep Q Learning
- Optimizing Policy with Policy Gradient Methods
- Conclusion
- 9. Putting AI Assistants to Work
- Designing an Eat/No Eat AI
- Selecting and Preparing Data for the AI
- Training the Nutritionist Model
- Optimizing Deep Reinforcement Learning
- Building the Eat/No Eat Agent
- Testing the AI Agent
- Commercializing the AI Agent
- Identifying App/AI Issues
- Involving Users and Progressing Development
- Future Considerations
- Conclusion
- 10. Commercializing AI
- The Ethics of Commercializing AI
- Packaging Up the Eat/No Eat App
- Reviewing Options for Deployment
- Deploying to GitHub
- Deploying with Google Cloud Deploy
- Exploring the Future of Practical AI
- Conclusion
- Index
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