Basic Generative Ai
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Generative Deep Learning
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Author : David Foster
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2019-06-28
Generative Deep Learning written by David Foster 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 2019-06-28 with Computers categories.
Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN
Basic Ai
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Author : David Shrier
language : en
Publisher: Hachette UK
Release Date : 2024-01-11
Basic Ai written by David Shrier and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-11 with Technology & Engineering categories.
In Basic AI, leading futurist David L. Shrier delves deep into the rapidly advancing world of artificial intelligence, delivering fascinating insights and exploring the impact this powerful technology will have on our lives and world. Artificial intelligence is driving workforce disruption on a scale not seen since the Industrial Revolution. In schools and universities, AI technology has forced a re-evaluation of the way students are taught and assessed. Meanwhile ChatGPT has become a cultural phenomenon, reaching 100 million users and attracting a $10 billion dollar investment in its parent company OpenAI. The race to dominate the generative AI market is accelerating at breakneck speed, inspiring breathless headlines and immense public interest. Basic AI provides a rare window into a frontier area of computer science that will change everything about how you live and work. Read this book and better understand how to succeed in the AI-enabled future.
Basic Generative Ai
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Author : Freeman Publishing
language : en
Publisher:
Release Date : 2024
Basic Generative Ai written by Freeman Publishing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with categories.
Deep Learning For Coders With Fastai And Pytorch
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Author : Jeremy Howard
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-29
Deep Learning For Coders With Fastai And Pytorch written by Jeremy Howard and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-29 with Computers categories.
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Ai Essentials Basics Courseware
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Author : Reinier van den Biggelaar
language : en
Publisher: Van Haren
Release Date : 2024-11-06
Ai Essentials Basics Courseware written by Reinier van den Biggelaar and has been published by Van Haren this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-06 with Architecture categories.
#html-body [data-pb-style=U317V0N]{justify-content:flex-start;display:flex;flex-direction:column;background-position:left top;background-size:cover;background-repeat:no-repeat;background-attachment:scroll}The AI Essentials courseware offers a comprehensive 1 day training program tailored for business and government professionals, focusing on the practical application and understanding of Artificial Intelligence (AI) in their respective work environments. This course is structured to provide a deeper insight into the fundamental concepts of human and Artificial Intelligence, emphasizing the role of Machine Learning (ML) as a pivotal contributor to AI's growth. Participants will explore the general definition of human and AI, delve into the concept of 'learning from experience,' and understand how this is integral to Machine Learning, based on Tom Mitchell's explicit definition. The course also illuminates how AI is an essential component of Universal Design and the Fourth Industrial Revolution. A significant focus is given to the challenges posed by AI, including a comparison of AI limitations against human systems and the ethical dilemmas AI presents. Participants will gain a comprehensive understanding of the risks associated with AI, typical funding sources for AI projects, and an enumeration of AI's potential applications. Crucially, the course will demonstrate how AI, particularly Machine Learning, is set to enhance collaboration between humans and machines. It will also provide a forecast of future directions in this symbiotic relationship, outlining the evolving landscape of human-machine collaboration. This courseware educates for: The EXIN BCS Artificial Intelligence Essentials, testing the fundamental concepts of AI. Follow up modules on this course are. The AI for Business and Government certification (the AI Brevet) which was established by the Netherlands AI Coalition (NL AIC) as a standard for professionals who want to use Artificial Intelligence. The EXIN BCS Artificial Intelligence Foundation, which has a more IT-technical perspective.
Java Basics Using Chatgpt Gpt 4
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Author : Oswald Campesato
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-12-15
Java Basics Using Chatgpt Gpt 4 written by Oswald Campesato and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-15 with Computers categories.
Encourages readers to compare and contrast hand-written code with ChatGPT-generated code. This approach fosters discussions on code efficiency, readability, and maintainability, enhancing understanding of programming paradigms and techniques. This book is designed for those new to Java and interested in understanding how ChatGPT/GPT-4 can enhance programming. It offers a unique approach to learning Java, combining traditional hand-written code with cutting-edge ChatGPT-generated examples. The book covers the basics of Java programming and development environments, including understanding recursion, strings, arrays, fundamental data structures, algorithm analysis, queues and stacks, and follows with the role of ChatGPT in generating, explaining, and debugging code. Companion files with source code and figures available for downloading. It’s an essential resource for those starting Java programming and for anyone curious about the applications of ChatGPT in coding.
Ai Iot And Machine Learning Basics
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Author : Dr Aadam Quraishi MD
language : en
Publisher: Xoffencer intrernational book publication house
Release Date : 2024-12-30
Ai Iot And Machine Learning Basics written by Dr Aadam Quraishi MD and has been published by Xoffencer intrernational book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.
The 21st century has ushered in a period of unparalleled technological developments, which have radically altered how we live, work, and interact with the environment that surrounds us. Artificial Intelligence (AI), the Internet of Things (IoT), and Machine Learning (ML) are three revolutionary technologies that are at the heart of this massive upheaval. These technologies are no longer something that will be developed in the future; rather, they are now influencing industries, spurring innovation, and building systems that are smarter and more connected. Since the advent of the digital revolution, the gap between the physical and virtual realities has been crossed. This has made it possible for computers to carry out activities, make judgments, and learn from data with minimum assistance from humans. The Internet of Things (IoT) links common devices to the Internet, artificial intelligence (AI) enables systems to imitate human intellect, and machine learning (ML) enables computers to learn from huge quantities of data to make predictions and improve performance over time. In a society that is becoming more and more dependent on intelligent solutions, understanding these technologies is no longer an option. Artificial intelligence (AI), the Internet of Things (IoT), and machine learning have permeated every facet of contemporary life, from wearable gadgets and smart homes to predictive healthcare and driverless automobiles. What drives me: As will be explained in the chapter, the AI/ML-based Internet of Things systems are making significant contributions to the advancement of all areas of technology and society. As a result, gaining knowledge about these systems, even if it is in a general sense, would be beneficial to our growth even in our specialized areas. Because it has demonstrated its usefulness across all sectors and businesses, the potential that this technological combination possesses is not something that one can either ignore or choose to ignore. It will undoubtedly transform from a talent that can be added to one that is required in the future. In this chapter, you will get an understanding of the most popular 2 | P a g e terminology in the world of technology today, including artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), as well as how these concepts interact with one another. In this course, you will learn about the rapidly expanding field of artificial intelligence-based Internet of Things (IoT) technologies and how these systems are utilized in everyday life to simplify our lives and enrich our experiences. Your perspective will broaden as a result of the numerous applications that will be discussed, particularly about how this technology may be utilized and how you can benefit from it. 1.2 ARTIFICIAL INTELLIGENCE We all now have a general understanding of artificial intelligence and how it works. To summarise the information that was presented in the introduction, artificial intelligence (AI) can be defined as "a vast branch of computer science that endeavors to build smart entities capable of performing intelligent tasks without human intervention." In other words, AI is the simulation of human intelligence in machines, which grants them the capabilities to mimic and behave like humans. These entities are grouped under a single umbrella term known as Intelligent Agents (IA). If an entity can see its surroundings, comprehend it, and act upon it, then that creature is considered an IA. It is possible to perceive it as being composed of three halves. First, there are the Sensors in the system. It is a reference to the portion of the AI that is responsible for assisting it in perceiving stimuli from the outside environment. The Actuators are the second entity in the system. AI can include methods that create the required effects with the assistance of this. The third component of the agent is the Effector, which is utilized by the agent to exert its influence on the surrounding environment. Consequently, we can comprehend the idea of PEAS from this. Performance Measurement, Environment, Actuator, and Sensor are the components that make up PEAS. Using PEAS, we can gain a more in-depth understanding of Intelligent Agents, which in turn helps us develop more effective Rational Agents. A performance metric is a judgment of how well something is performing. Environment is a term that relates to the surrounding environment, which includes the entities that are doing the act. Actuators are the components or instruments that are essential to the operation of the mechanism
Generative Ai With Python And Tensorflow 2
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Author : Joseph Babcock
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-04-30
Generative Ai With Python And Tensorflow 2 written by Joseph Babcock 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 2021-04-30 with Computers categories.
This edition is heavily outdated and we have a new edition with PyTorch examples published! Key Features Code examples are in TensorFlow 2, which make it easy for PyTorch users to follow along Look inside the most famous deep generative models, from GPT to MuseGAN Learn to build and adapt your own models in TensorFlow 2.x Explore exciting, cutting-edge use cases for deep generative AI Book DescriptionMachines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI? In this book, you’ll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You’ll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks. There’s been an explosion in potential use cases for generative models. You’ll look at Open AI’s news generator, deepfakes, and training deep learning agents to navigate a simulated environment. Recreate the code that’s under the hood and uncover surprising links between text, image, and music generation.What you will learn Export the code from GitHub into Google Colab to see how everything works for yourself Compose music using LSTM models, simple GANs, and MuseGAN Create deepfakes using facial landmarks, autoencoders, and pix2pix GAN Learn how attention and transformers have changed NLP Build several text generation pipelines based on LSTMs, BERT, and GPT-2 Implement paired and unpaired style transfer with networks like StyleGAN Discover emerging applications of generative AI like folding proteins and creating videos from images Who this book is for This is a book for Python programmers who are keen to create and have some fun using generative models. To make the most out of this book, you should have a basic familiarity with math and statistics for machine learning.
Artificial Intelligence Valuation
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Author : Roberto Moro-Visconti
language : en
Publisher: Springer Nature
Release Date : 2024-06-01
Artificial Intelligence Valuation written by Roberto Moro-Visconti and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-01 with Business & Economics categories.
The book discusses the main valuation methodologies of artificial intelligence (AI). Company valuation goes hand in hand with estimating intangible assets like AI, which are linked to higher risk and lower collateral value. Their accounting is controversial, and the most widely used valuation approaches are based on market, income, or cost-related metrics.The volume discusses in detail the valuation approaches such as the discounted cash flows (remembering that “cash is king”) or the empirical market multipliers and comparables. The approaches are complemented by several models, including advanced business planning that incorporates machine learning, digital scalability networks, or validating blockchains. The book, with a tailor-made theoretical background backed by empirical cases, shows how to evaluate AI products, such as chatbots or virtual assistants, for AI established producers, startups, or traditional “brick-and-mortar” AI users. The comprehensive set of techniques and methodologies will interest researchers, students, and practitioners in corporate finance, intellectual property valuation, and financial technology.
Artificial Intelligence Ai And Machine Learning Basics
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Author : Prof. (Dr.) Kodeeswara Prabu. P
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-05-23
Artificial Intelligence Ai And Machine Learning Basics written by Prof. (Dr.) Kodeeswara Prabu. P and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-23 with Computers categories.
The advent of machine learning (ML) and artificial intelligence (AI) has been revolutionary in many fields, and it is changing the way people use technology and solve issues. Enabling computers to think like humans is the basic idea behind artificial intelligence. This will allow them to perform things like understand language, see patterns, and make judgments. The goal of machine learning, a branch of AI, is to create algorithms that can learn to perform better and better over time without any input from a person or coding at all. Automating routine procedures, simplifying difficult data analysis, and speeding up developments in healthcare, finance, and other fields are just a few of the many possible outcomes of a solid grounding in AI and ML. Here are a handful of instances. Delving into the principles of these powerful technologies, we will investigate their basic ideas, uses, and the problems they bring. This will provide us with the knowledge needed to traverse the quickly developing world of artificial intelligence and machine learning. We must have a firm grasp of the underlying concepts of these technologies as we go farther into the world of artificial intelligence and machine learning. Algorithms, data, and the many forms of AI are some of the foundational ideas that we shall explore first. We shall differentiate between wide AI, which seeks to develop more general cognitive abilities, and narrow AI, which is primarily focused on completing specific tasks. We will also go over the pros and cons of each of the different machine learning methods, including supervised, unsupervised, and reinforcement learning. On this tour, we will see how AI and ML are already part of our daily lives through the exhibition of real-world examples. Various applications in healthcare and finance, as well as virtual assistants and recommendation systems, will serve as examples. We will examine every possible ethical concern and obstacle that may develop from their application, including data privacy, algorithmic bias, and the need for transparency in decision-making processes.