Generative Ai And Deep Learning
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Generative Ai And Deep Learning
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Author : Anand Vemula
language : en
Publisher: Independently Published
Release Date : 2024-05-30
Generative Ai And Deep Learning written by Anand Vemula and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.
"Generative AI and Deep Learning: From Fundamentals to Advanced Applications" is a comprehensive guide that explores the exciting field of artificial intelligence (AI) and deep learning. Written for both beginners and seasoned professionals, this book delves into the foundational concepts of generative AI and deep learning architectures, including neural networks basics, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and more. The book starts with an overview of generative models, explaining their significance in generating new data samples and their various applications across industries. It covers popular generative models like autoencoders, restricted Boltzmann machines (RBMs), and deep belief networks (DBNs), providing insights into their workings and real-world use cases. Moving beyond the basics, the book explores advanced topics in generative AI, such as reinforcement learning integration and its applications in natural language processing (NLP). Readers will learn about cutting-edge techniques like transformer models, including BERT and GPT, and how they revolutionize language understanding and generation tasks. Throughout the book, ethical considerations and challenges in generative AI are highlighted, emphasizing the importance of fairness, transparency, and security in AI development. Real-world case studies showcase successful implementations of generative AI across diverse domains, from healthcare and finance to art and entertainment. Practical guidance is provided on building and deploying generative models, including model training, evaluation, and optimization strategies. The book also explores popular tools and frameworks like TensorFlow, PyTorch, and OpenAI GPT, empowering readers to harness the full potential of generative AI technology. With insights into emerging trends and future directions, "Generative AI and Deep Learning" offers a holistic view of the field, inspiring readers to explore new possibilities and contribute to the advancement of AI for the betterment of society. Whether you're a student, researcher, or industry professional, this book is your essential companion on the journey through the exciting world of generative AI and deep learning. Keywords: Generative AI, Deep Learning, Neural Networks, Autoencoders, Reinforcement Learning, Natural Language Processing, Ethics, Case Studies, Tools and Frameworks, Future Directions.
Toward Artificial General Intelligence
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Author : Victor Hugo C. de Albuquerque
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-11-06
Toward Artificial General Intelligence written by Victor Hugo C. de Albuquerque 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 2023-11-06 with Computers categories.
Artificial Intelligence (AI) has been an exciting field of study and research in educational institutions and research labs across the globe. Technology giants and IT organizations invest heavily on AI technologies and tools with the aim of preciselyautomating a variety of simple as well as complicated business operations acrossindustry verticals. This book covers the latest trends and transitions happening in thefuturistic AI domain. The book also focuses on machine and deep learning (ML/DL)algorithms, which are, undoubtedly, the mainstream implementation technologies ofstate-of-the-art AI systems and services. Also, there are chapters on computer vision(CV) and natural language processing (NLP), the primary use cases and applicationsof AI. The book has well-written chapters for demystifying AI model engineeringmethods. Further on, our esteemed readers can fi nd details on AI model evaluation,optimization, deployment and observability. Finally, the book deals and describesgenerative AI, the latest buzzword in the IT industry. The book presents the recent ground-breaking changes taking place in the aspects of AI model building, hosting, running and maintaining in cloud environments, articulates and accentuates the most recent developments taking place in the domain of Artifi cial Intelligence, covers the noteworthy innovations and disruptions towards Generative Artificial Intelligence (Generative AI), explains the breakthrough innovations and disruptions towards Artifi cial General Intelligence (AGI) and delineates an engaging discussion of Natural Language Processing, Neuromorphic Systems and Biometrics.
Generative Deep Learning
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Author : David Foster
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-28
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 2022-06-28 with Computers categories.
Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models. The book starts with the basics of deep learning and progresses to cutting-edge architectures. Through tips and tricks, you'll understand how to make your models learn more efficiently and become more creative. Discover how VAEs can change facial expressions in photos Train GANs to generate images based on your own dataset Build diffusion models to produce new varieties of flowers Train your own GPT for text generation Learn how large language models like ChatGPT are trained Explore state-of-the-art architectures such as StyleGAN2 and ViT-VQGAN Compose polyphonic music using Transformers and MuseGAN Understand how generative world models can solve reinforcement learning tasks Dive into multimodal models such as DALL.E 2, Imagen, and Stable Diffusion This book also explores the future of generative AI and how individuals and companies can proactively begin to leverage this remarkable new technology to create competitive advantage.
Mastering Ai And Generative Ai From Learning Fundamentals To Advanced Applications
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Mastering Ai And Generative Ai From Learning Fundamentals To Advanced Applications written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This comprehensive guide dives into the fascinating world of Artificial Intelligence (AI) and its cutting-edge subfield, Generative AI. Designed for beginners and enthusiasts alike, it equips you with the knowledge and skills to navigate the complexities of machine learning and unlock the power of AI for advanced applications. Building a Strong Foundation The journey begins with mastering the fundamentals. You'll explore the different approaches to AI, delve into the history of this revolutionary field, and gain a solid understanding of various subfields like Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision. Delving into Machine Learning Machine learning, the core of AI's learning ability, takes center stage. You'll grasp the difference between supervised and unsupervised learning paradigms, discover popular algorithms like decision trees and neural networks, and learn the importance of data preparation for optimal model performance. Evaluation metrics become your tools to measure how effectively your models are learning. Unveiling the Power of Deep Learning Get ready to explore the intricate world of Deep Learning, a powerful subset of machine learning inspired by the human brain. Demystify neural networks, the building blocks of deep learning, and dive into specialized architectures like Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for handling sequential data. Deep learning frameworks become your allies, simplifying the process of building and deploying complex deep learning models. The Art of Machine Creation: Generative AI The book then shifts its focus to the transformative realm of Generative AI. Here, machines not only learn but create entirely new data. Explore different types of generative models, from autoregressive models to variational autoencoders, and witness their applications in text generation, image synthesis, and even music creation. A Deep Dive into Generative Adversarial Networks (GANs) Among generative models, Generative Adversarial Networks (GANs) have captured the imagination of researchers and the public alike. This chapter delves into the intriguing concept of GANs, where a generator model continuously strives to create realistic data while a discriminator model acts as a critic, ensuring the generated data is indistinguishable from real data. You'll explore the training process, the challenges of taming GANs, and best practices for achieving optimal results. Advanced Applications Across Domains The book then showcases the transformative potential of Generative AI across various domains. Witness the power of text generation with RNNs, explore the ethical considerations surrounding deepfakes, and discover how chatbots are revolutionizing communication. In the visual realm, delve into Deep Dream and Neural Style Transfer algorithms, and witness the creation of realistic images and videos with cutting-edge generative models. Mastering AI and Generative AI empowers you to not only understand these revolutionary technologies but also leverage them for advanced applications. As you embark on this journey, be prepared to unlock the boundless potential of machine creation and shape the future of AI.
Study Of Generative Artificial Intelligence With Machine Learning And Deep Learning
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Author : Dr. Mohammed Inamur Rahman
language : en
Publisher: Academic Guru Publishing House
Release Date : 2025-02-10
Study Of Generative Artificial Intelligence With Machine Learning And Deep Learning written by Dr. Mohammed Inamur Rahman and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-10 with Study Aids categories.
“Study of Generative Artificial Intelligence with Machine Learning and Deep Learning” provides an insightful journey into the world of Generative AI, covering its theoretical foundations, practical implementations, and emerging trends. This book is structured to offer a progressive learning experience, beginning with fundamental AI concepts and advancing toward sophisticated generative techniques. The book is divided into nine well-organised chapters. It starts with an introduction to Generative AI, explaining its principles, evolution, and ethical considerations. This is followed by a deep dive into machine learning and deep learning fundamentals, setting the groundwork for understanding generative models. Subsequent chapters introduce readers to generative models, discussing their importance, various concepts such as latent variables and Bayesian methods, and applications in data simulation. The book further explores advanced generative AI Autoencoders, techniques, Generative including Adversarial Variational Networks, Transformers, and Diffusion Models, providing practical insights into their working mechanisms. A dedicated section examines the role of machine learning and deep learning in enhancing generative models, discussing hybrid approaches, training challenges, and breakthroughs in AI-generated images and text. Ethical, legal, and security concerns are critically analysed, addressing issues such as AI bias, misinformation, and regulatory complexities. Concluding with a discussion on the future of Generative AI, the book speculates on Artificial General Intelligence, autonomous AI agents, and humanoid robots, presenting a visionary outlook on AI’s limitless potential. This book serves as a valuable reference for students, researchers, and industry professionals seeking to understand, develop, and apply Generative AI effectively.
Generative Artificial Intelligence
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Author : R. Nidhya
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-01
Generative Artificial Intelligence written by R. Nidhya 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 2025-04-01 with Computers categories.
This book is a comprehensive overview of AI fundamentals and applications to drive creativity, innovation, and industry transformation. Generative AI stands at the forefront of artificial intelligence innovation, redefining the capabilities of machines to create, imagine, and innovate. GAI explores the domain of creative production with new and original content across various forms, including images, text, music, and more. In essence, generative AI stands as evidence of the boundless potential of artificial intelligence, transforming industries, sparking creativity, and challenging conventional paradigms. It represents not just a technological advancement but a catalyst for reimagining how machines and humans collaborate, innovate, and shape the future. The book examines real-world examples of how generative AI is being used in a variety of industries. The first section explores the fundamental concepts and ethical considerations of generative AI. In addition, the section also introduces machine learning algorithms and natural language processing. The second section introduces novel neural network designs and convolutional neural networks, providing dependable and precise methods. The third section explores the latest learning-based methodologies to help researchers and farmers choose optimal algorithms for specific crop and hardware needs. Furthermore, this section evaluates significant advancements in revolutionizing online content analysis, offering real-time insights into content creation for more interactive processes. Audience The book will be read by researchers, engineers, and students working in artificial intelligence, computer science, and electronics and communication engineering as well as industry application areas.
Generative Ai For Nerds Guide Book Generative Ai Ai Coding Deep Learning Machine Learning Ai Tutorial Ai Guide Artificial Intelligence
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Author : Matt Kingsley
language : en
Publisher: Matt Kingsley
Release Date :
Generative Ai For Nerds Guide Book Generative Ai Ai Coding Deep Learning Machine Learning Ai Tutorial Ai Guide Artificial Intelligence written by Matt Kingsley and has been published by Matt Kingsley this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Stop reading about the AI revolution. Start building it. "Generative AI for Nerds" is your hands-on guide to coding the impossible. Unlock the secrets of deep learning, master GANs and RNNs, and create AI that generates art, music, text, and more. No PhD required, just pure coding power. Decode the future. Build the impossible. Get the book. Are you ready to go beyond AI hype and actually build the future? "Generative AI for Nerds" isn't another theoretical overview. It's a practical, code-driven guide that puts the power of generative AI in your hands. We'll take you from zero to AI hero, with clear explanations, step-by-step tutorials, and real-world code examples you can start using today. Learn to: Master the core concepts of deep learning and generative models. Build your own text generators, image creators, and more. Navigate the ethical and societal implications of AI. Join the thriving generative AI community. Solve global challenges with the creative power of code. Stop dreaming about the future of AI. Start coding it. Get "Generative AI for Nerds" now!
Deep Learning In Generative Ai From Fundamentals To Cutting Edge Applications
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Deep Learning In Generative Ai From Fundamentals To Cutting Edge Applications written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book provides an in-depth exploration of the foundational concepts, advanced techniques, and practical applications of generative AI, all powered by deep learning. The journey begins with a solid introduction to generative models, explaining their significance in AI and how they differ from discriminative models. It then covers the foundational elements of deep learning, including neural networks, backpropagation, activation functions, and optimization methods, laying the groundwork for understanding complex generative architectures. The book progresses to detailed discussions on various generative models such as Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Diffusion Models. Each model is presented with its mathematical foundations, architecture, and step-by-step coding tutorials, making it accessible to both beginners and advanced practitioners. Real-world applications of these models are explored in depth, showcasing how generative AI is transforming industries like healthcare, finance, and creative arts. The book also addresses the challenges associated with training generative models, offering practical solutions and optimization techniques. Ethical considerations are a critical component, with dedicated sections on bias in generative models, deepfakes, and the implications of AI-generated content on intellectual property. The book concludes with a forward-looking discussion on future trends in generative AI, including the integration of AI with quantum computing and its role in promoting sustainability. With a balanced mix of theory, hands-on exercises, case studies, and practical examples, this book equips readers with the knowledge and tools to implement generative AI models in real-world scenarios, making it an essential resource for AI enthusiasts, researchers, and professionals.
Generative Ai And Llms
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Author : S. Balasubramaniam
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-09-23
Generative Ai And Llms written by S. Balasubramaniam 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 2024-09-23 with Computers categories.
Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative artificial intelligence (AI) stands out due to its unique characteristic of undergoing development and maturation in a highly transparent manner, with its progress being observed by the public at large. The current era of artificial intelligence is being influenced by the imperative to effectively utilise its capabilities in order to enhance corporate operations. Specifically, the use of large language model (LLM) capabilities, which fall under the category of Generative AI, holds the potential to redefine the limits of innovation and productivity. However, as firms strive to include new technologies, there is a potential for compromising data privacy, long-term competitiveness, and environmental sustainability. This book delves into the exploration of generative artificial intelligence (GAI) and LLM. It examines the historical and evolutionary development of generative AI models, as well as the challenges and issues that have emerged from these models and LLM. This book also discusses the necessity of generative AI-based systems and explores the various training methods that have been developed for generative AI models, including LLM pretraining, LLM fine-tuning, and reinforcement learning from human feedback. Additionally, it explores the potential use cases, applications, and ethical considerations associated with these models. This book concludes by discussing future directions in generative AI and presenting various case studies that highlight the applications of generative AI and LLM.
A Generative Journey To Ai
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Author : Toni Ramchandani
language : en
Publisher: BPB Publications
Release Date : 2024-12-10
A Generative Journey To Ai written by Toni Ramchandani and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-10 with Computers categories.
DESCRIPTION Explore the world of generative AI, a technology capable of creating new data that closely resembles reality. This book covers the fundamentals and advances through cutting-edge techniques. It also clarifies complex concepts, guiding you through the essentials of deep learning, neural networks, and the exciting world of generative models, like GANs, VAEs, Transformers, etc. This book introduces deep learning, machine learning, and neural networks as the foundation of generative models, covering types like GANs and VAEs, diffusion models, and other advanced architectures. It explains their structure, training methods, and applications across various fields. It discusses ethical considerations, responsible development, and future trends in generative AI. It concludes by highlighting how generative AI can be used creatively, transforming fields like art and pushing the boundaries of human creativity, while also addressing the challenges of using these technologies responsibly. This book provides the tools and knowledge needed to leverage generative AI in real-world applications. By the time you complete it, you will have a solid foundation and the confidence to explore the frontiers of AI. KEY FEATURES ● Comprehensive guide to mastering generative AI and deep learning basics. ● Covers text, audio, and video generation with practical examples. ● Insights into emerging trends and potential advancements in the field. WHAT YOU WILL LEARN ● Understand the fundamentals of deep learning and neural networks. ● Master generative models like GANs, VAEs, and Transformers. ● Implement AI techniques for text, audio, and video creation. ● Apply generative AI in real-world scenarios and applications. ● Navigate ethical challenges and explore the future of AI. WHO THIS BOOK IS FOR This book is ideal for AI enthusiasts, developers, and professionals with a basic understanding of Python programming and machine learning. TABLE OF CONTENTS 1. Introduction to Deep Learning 2. Neural Networks and Deep Learning Architectures 3. Unveiling Generative Models 4. Generative Adversarial Networks 5. Variational Autoencoders 6. Diffusion Models 7. Transformers and Large Language Models 8. Exploring Generative Models 9. Video and Music Generation 10. Artistic Side of Generative AI 11. Ethics, Challenges, and Future