Hands On Artificial Intelligence With Javascript
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Hands On Machine Learning With Javascript
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Author : Burak Kanber
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-29
Hands On Machine Learning With Javascript written by Burak Kanber and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-29 with Computers categories.
A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript Key Features Solve complex computational problems in browser with JavaScript Teach your browser how to learn from rules using the power of machine learning Understand discoveries on web interface and API in machine learning Book Description In over 20 years of existence, JavaScript has been pushing beyond the boundaries of web evolution with proven existence on servers, embedded devices, Smart TVs, IoT, Smart Cars, and more. Today, with the added advantage of machine learning research and support for JS libraries, JavaScript makes your browsers smarter than ever with the ability to learn patterns and reproduce them to become a part of innovative products and applications. Hands-on Machine Learning with JavaScript presents various avenues of machine learning in a practical and objective way, and helps implement them using the JavaScript language. Predicting behaviors, analyzing feelings, grouping data, and building neural models are some of the skills you will build from this book. You will learn how to train your machine learning models and work with different kinds of data. During this journey, you will come across use cases such as face detection, spam filtering, recommendation systems, character recognition, and more. Moreover, you will learn how to work with deep neural networks and guide your applications to gain insights from data. By the end of this book, you'll have gained hands-on knowledge on evaluating and implementing the right model, along with choosing from different JS libraries, such as NaturalNode, brain, harthur, classifier, and many more to design smarter applications. What you will learn Get an overview of state-of-the-art machine learning Understand the pre-processing of data handling, cleaning, and preparation Learn Mining and Pattern Extraction with JavaScript Build your own model for classification, clustering, and prediction Identify the most appropriate model for each type of problem Apply machine learning techniques to real-world applications Learn how JavaScript can be a powerful language for machine learning Who this book is for This book is for you if you are a JavaScript developer who wants to implement machine learning to make applications smarter, gain insightful information from the data, and enter the field of machine learning without switching to another language. Working knowledge of JavaScript language is expected to get the most out of the book.
Hands On Artificial Intelligence With Javascript
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Author : Andrei Niscoveanu
language : en
Publisher:
Release Date : 2019-07-26
Hands On Artificial Intelligence With Javascript written by Andrei Niscoveanu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-26 with categories.
A.I. powered chatbots, computer vision and neural networks for your web applications using JavaScript.Mission- Teach the reader how to build projects involving Artificial Intelligence using JavaScript as a primary programming language.- Explore various techniques of using Artificial Intelligence in real-world scenarios- Explain what machine learning is and how it can be applied in web applicationsObjectives and achievements- Explore popular platforms using A.I.- Practical examples of A.I. in web apps- Exploring chatbots- Exploring vision based apps- Implementing A.I. in a game
Hands On Machine Learning With Tensorflow Js
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Author : Kai Sasaki
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-11-27
Hands On Machine Learning With Tensorflow Js written by Kai Sasaki and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-27 with Computers categories.
Hands-On Machine Learning with TensorFlow.js is a comprehensive guide that will help you easily get started with machine learning algorithms and techniques using TensorFlow.js. By the end of this book, you will be able to create and optimize your own web-based machine learning applications using practical examples.
Hands On Artificial Intelligence On Amazon Web Services
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Author : Subhashini Tripuraneni
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-10-04
Hands On Artificial Intelligence On Amazon Web Services written by Subhashini Tripuraneni and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-04 with Computers categories.
Perform cloud-based machine learning and deep learning using Amazon Web Services such as SageMaker, Lex, Comprehend, Translate, and Polly Key FeaturesExplore popular machine learning and deep learning services with their underlying algorithmsDiscover readily available artificial intelligence(AI) APIs on AWS like Vision and Language ServicesDesign robust architectures to enable experimentation, extensibility, and maintainability of AI appsBook Description From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AWS. With this book, you’ll work through hands-on exercises and learn to use these services to solve real-world problems. You’ll even design, develop, monitor, and maintain machine and deep learning models on AWS. The book starts with an introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services. You’ll then get to grips with detecting and translating text with Amazon Rekognition and Amazon Translate. The book will assist you in performing speech-to-text with Amazon Transcribe and Amazon Polly. Later, you’ll discover the use of Amazon Comprehend for extracting information from text, and Amazon Lex for building voice chatbots. You will also understand the key capabilities of Amazon SageMaker such as wrangling big data, discovering topics in text collections, and classifying images. Finally, you’ll cover sales forecasting with deep learning and autoregression, before exploring the importance of a feedback loop in machine learning. By the end of this book, you will have the skills you need to implement AI in AWS through hands-on exercises that cover all aspects of the ML model life cycle. What you will learnGain useful insights into different machine and deep learning modelsBuild and deploy robust deep learning systems to productionTrain machine and deep learning models with diverse infrastructure specificationsScale AI apps without dealing with the complexity of managing the underlying infrastructureMonitor and Manage AI experiments efficientlyCreate AI apps using AWS pre-trained AI servicesWho this book is for This book is for data scientists, machine learning developers, deep learning researchers, and artificial intelligence enthusiasts who want to harness the power of AWS to implement powerful artificial intelligence solutions. A basic understanding of machine learning concepts is expected.
Artificial Intelligence Programming With Python
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Author : Perry Xiao
language : en
Publisher: John Wiley & Sons
Release Date : 2022-02-21
Artificial Intelligence Programming With Python written by Perry Xiao and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-21 with Computers categories.
A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples. Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python “cheat sheet” quick references This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming—including familiarity with variables, arrays, loops, if-else statements, and file input and output—who seeks to understand foundational concepts in AI and AI development.
Artificial Intelligence With Javascript
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Author : Andrew Davis
language : en
Publisher: Independently Published
Release Date : 2024-10-08
Artificial Intelligence With Javascript written by Andrew Davis and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-08 with Computers categories.
Unlock the power of deep learning and artificial intelligence using the language you already know and love - JavaScript! This groundbreaking book bridges the gap between web development and cutting-edge AI, empowering you to create intelligent applications that can transform user experiences across platforms. Dive into the world of neural networks, machine learning algorithms, and AI-driven decision-making, all through the lens of JavaScript. Learn how to: Implement deep learning models directly in your web and mobile applications Harness the potential of natural language processing and computer vision using JavaScript libraries Optimize performance and scalability for AI-driven applications in browser environments Create intelligent chatbots, recommendation systems, and predictive analytics tools Whether you're a seasoned JavaScript developer looking to expand your skillset or an AI enthusiast eager to bring your models to life on the web, this book provides the perfect blend of theory and practical, hands-on examples. Don't let the misconception that AI is only for Python developers hold you back. Embrace the future of web-based artificial intelligence and start building smarter, more responsive applications today!
Javascript Programming For Building Deep Learning Models
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Author : AGENTA. MILLO
language : en
Publisher: Independently Published
Release Date : 2025-03-10
Javascript Programming For Building Deep Learning Models written by AGENTA. MILLO and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Computers categories.
Unlock the immense power of Artificial Intelligence with JavaScript! JavaScript Programming for Building Deep Learning Models is the ultimate guide to mastering AI development using JavaScript. This comprehensive book empowers developers with the tools and knowledge needed to create advanced deep learning models, all while leveraging JavaScript's unparalleled accessibility and web integration. Dive deep into the world of AI and explore its potential with real-world applications. From neural networks to computer vision, NLP, and reinforcement learning, this book takes you step-by-step through essential concepts and complex models. Learn to build and train models using TensorFlow.js, and discover how to bring powerful AI to web browsers and edge devices for real-time, client-side applications. Whether you're building your first neural network or deploying sophisticated deep learning solutions, this book will guide you every step of the way. With hands-on projects and practical exercises, you'll develop expertise in the most cutting-edge AI techniques. In this book, you will: Master the fundamentals of deep learning, neural networks, and their applications. Discover why JavaScript is a game-changer in AI development. Explore advanced deep learning models, including CNNs, RNNs, GANs, and Transformers. Learn how to create real-time applications like image recognition, chatbots, and even self-learning systems. Implement deep learning with TensorFlow.js to run models directly in web browsers or Node.js environments. Optimize and scale models for real-world applications, from edge computing to cloud deployment. Perfect for developers eager to harness the power of JavaScript for AI, this book provides both foundational knowledge and cutting-edge techniques for building AI-powered systems. Start your journey into the world of deep learning today and unlock the potential of AI in web development with JavaScript! Why Choose This Book? Practical, hands-on approach with code examples and exercises Clear explanations for both beginners and advanced learners Insights on optimizing performance and scaling AI models Real-world applications, including NLP, image recognition, and chatbots Learn to deploy AI models directly to browsers and edge devices Prepare to push the boundaries of AI development with JavaScript Programming for Building Deep Learning Models!
Learning Tensorflow Js
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Author : Gant Laborde
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-05-10
Learning Tensorflow Js written by Gant Laborde and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with Computers categories.
Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde (Google Developer Expert in machine learning and the web) provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more. Once you finish this book, you'll know how to build and deploy production-readydeep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learning Convert data into tensors and back with a real-world example Combine AI with the web using TensorFlow.js Use resources to convert, train, and manage machine learning data Build and train your own training models from scratch
Deep Learning With Javascript
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Author : Stanley Bileschi
language : en
Publisher: Simon and Schuster
Release Date : 2020-01-24
Deep Learning With Javascript written by Stanley Bileschi and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-24 with Computers categories.
Summary Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with JavaScript shows developers how they can bring DL technology to the web. Written by the main authors of the TensorFlow library, this new book provides fascinating use cases and in-depth instruction for deep learning apps in JavaScript in your browser or on Node. Foreword by Nikhil Thorat and Daniel Smilkov. About the technology Running deep learning applications in the browser or on Node-based backends opens up exciting possibilities for smart web applications. With the TensorFlow.js library, you build and train deep learning models with JavaScript. Offering uncompromising production-quality scalability, modularity, and responsiveness, TensorFlow.js really shines for its portability. Its models run anywhere JavaScript runs, pushing ML farther up the application stack. About the book In Deep Learning with JavaScript, you’ll learn to use TensorFlow.js to build deep learning models that run directly in the browser. This fast-paced book, written by Google engineers, is practical, engaging, and easy to follow. Through diverse examples featuring text analysis, speech processing, image recognition, and self-learning game AI, you’ll master all the basics of deep learning and explore advanced concepts, like retraining existing models for transfer learning and image generation. What's inside - Image and language processing in the browser - Tuning ML models with client-side data - Text and image creation with generative deep learning - Source code samples to test and modify About the reader For JavaScript programmers interested in deep learning. About the author Shanging Cai, Stanley Bileschi and Eric D. Nielsen are software engineers with experience on the Google Brain team, and were crucial to the development of the high-level API of TensorFlow.js. This book is based in part on the classic, Deep Learning with Python by François Chollet. TOC: PART 1 - MOTIVATION AND BASIC CONCEPTS 1 • Deep learning and JavaScript PART 2 - A GENTLE INTRODUCTION TO TENSORFLOW.JS 2 • Getting started: Simple linear regression in TensorFlow.js 3 • Adding nonlinearity: Beyond weighted sums 4 • Recognizing images and sounds using convnets 5 • Transfer learning: Reusing pretrained neural networks PART 3 - ADVANCED DEEP LEARNING WITH TENSORFLOW.JS 6 • Working with data 7 • Visualizing data and models 8 • Underfitting, overfitting, and the universal workflow of machine learning 9 • Deep learning for sequences and text 10 • Generative deep learning 11 • Basics of deep reinforcement learning PART 4 - SUMMARY AND CLOSING WORDS 12 • Testing, optimizing, and deploying models 13 • Summary, conclusions, and beyond
Hci International 2022 Late Breaking Posters
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Author : Constantine Stephanidis
language : en
Publisher: Springer Nature
Release Date : 2022-11-24
Hci International 2022 Late Breaking Posters written by Constantine Stephanidis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-24 with Computers categories.
Volume CCIS 1654 is part of the refereed proceedings of the 24th International Conference on Human-Computer Interaction, HCII 2022, which was held virtually during June 26 to July 1, 2022. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.