Deep Learning In Generative Ai From Fundamentals To Cutting Edge Applications
DOWNLOAD
Download Deep Learning In Generative Ai From Fundamentals To Cutting Edge Applications PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Deep Learning In Generative Ai From Fundamentals To Cutting Edge Applications book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Deep Learning In Generative Ai From Fundamentals To Cutting Edge Applications
DOWNLOAD
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 Deep Learning
DOWNLOAD
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.
Mastering Ai And Generative Ai From Learning Fundamentals To Advanced Applications
DOWNLOAD
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.
Azure Openai Service For Cloud Native Applications
DOWNLOAD
Author : Adrián González Sánchez
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2024-06-27
Azure Openai Service For Cloud Native Applications written by Adrián González Sánchez 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 2024-06-27 with Computers categories.
Get the details, examples, and best practices you need to build generative AI applications, services, and solutions using the power of Azure OpenAI Service. With this comprehensive guide, Microsoft AI specialist Adrián González Sánchez examines the integration and utilization of Azure OpenAI Service—using powerful generative AI models such as GPT-4 and GPT-4o—within the Microsoft Azure cloud computing platform. To guide you through the technical details of using Azure OpenAI Service, this book shows you how to set up the necessary Azure resources, prepare end-to-end architectures, work with APIs, manage costs and usage, handle data privacy and security, and optimize performance. You'll learn various use cases where Azure OpenAI Service models can be applied, and get valuable insights from some of the most relevant AI and cloud experts. Ideal for software and cloud developers, product managers, architects, and engineers, as well as cloud-enabled data scientists, this book will help you: Learn how to implement cloud native applications with Azure OpenAI Service Deploy, customize, and integrate Azure OpenAI Service with your applications Customize large language models and orchestrate knowledge with company-owned data Use advanced roadmaps to plan your generative AI project Estimate cost and plan generative AI implementations for adopter companies
Azure Ai Fundamentals Ai 900 Study Guide
DOWNLOAD
Author : Tom Taulli
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-05-06
Azure Ai Fundamentals Ai 900 Study Guide written by Tom Taulli 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 2025-05-06 with Computers categories.
Businesses that want to stay competitive know that AI has become a crucial technology—and so do their employees looking to grow their careers. Earning Microsoft's AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you're an IT professional, a data analyst, or a student looking to break into the AI field. Packed with clear explanations, real-world examples, exam tips, and practice questions, this comprehensive handbook is your go-to resource for mastering the Azure AI platform and advancing your career. You'll explore key exam topics, including machine learning, computer vision, and generative AI, while gaining practical insights into leveraging Azure's powerful AI tools.
Google Machine Learning And Generative Ai For Solutions Architects
DOWNLOAD
Author : Kieran Kavanagh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-28
Google Machine Learning And Generative Ai For Solutions Architects written by Kieran Kavanagh 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 2024-06-28 with Computers categories.
Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively Key Features Understand key concepts, from fundamentals through to complex topics, via a methodical approach Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies. You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process. By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.What you will learn Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark Source, understand, and prepare data for ML workloads Build, train, and deploy ML models on Google Cloud Create an effective MLOps strategy and implement MLOps workloads on Google Cloud Discover common challenges in typical AI/ML projects and get solutions from experts Explore vector databases and their importance in Generative AI applications Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows Who this book is for This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.
Generative Ai For Nerds Guide Book Generative Ai Ai Coding Deep Learning Machine Learning Ai Tutorial Ai Guide Artificial Intelligence
DOWNLOAD
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!
Generative Ai Essentials
DOWNLOAD
Author : Dr. Priyanka Singh
language : en
Publisher: BPB Publications
Release Date : 2025-01-07
Generative Ai Essentials written by Dr. Priyanka Singh and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Computers categories.
DESCRIPTION Generative AI is changing the way we think about creativity and problem-solving. This book is your go-to guide for understanding and working with this exciting technology. This book offers a clear introduction to generative AI, starting with basics like machine learning and deep learning. It explains key models, including GANs and VAEs, breaking down their architectures and training methods. You will discover how Transformer models like GPT have transformed natural language processing and enabled advancements in language generation. The book explores practical applications such as image synthesis, style transfer, and text generation, showing how generative AI merges technology with creativity. Advanced topics like reinforcement learning, AI ethics, and bias are also covered. Practical tips for creating your own generative AI models, along with insights into the future of this groundbreaking field, making it an essential resource for AI enthusiasts and professionals. By the end of this book, you will have a firm grasp of generative AI concepts and practical skills to get you started. You will be well-prepared to use cloud platforms like AWS, Azure, and GCP to build and launch powerful generative AI projects. From creating realistic images to crafting natural text, you will explore hands-on examples while tackling important ethical questions. This book gives you the skills and confidence to explore the limitless potential of generative AI. KEY FEATURES ● Learn GANs, VAEs, and Transformers with real-world applications. ● Build scalable generative AI models using AWS, Azure, and GCP. ● Explore ethical AI, creative projects, and future trends in technology. WHAT YOU WILL LEARN ● Build foundational knowledge of generative AI principles and models. ● Apply machine learning and deep learning for creative content generation. ● Leverage GANs, VAEs, and Transformer models in real-world scenarios. ● Master cloud tools for scalable generative AI development. ● Address ethical challenges and implement responsible AI practices. ● Explore advanced applications and future directions of generative AI WHO THIS BOOK IS FOR This book is designed for data scientists, machine learning engineers, software developers, cloud professionals, educators, students, and creative professionals. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Generative Adversarial Networks 3. Variational Autoencoders 4. Transformer Models and Language Generation 5. Image Generation and Style Transfer 6. Text Generation and Language Models with Real-time Examples 7. Generative AI in Art and Creativity 8. Exploring Advanced Concepts 9. Future Direction and Challenges 10. Building Your Own-Generative AI Models 11. Conclusion and Outlook Appendices
Harnessing Generative Ai
DOWNLOAD
Author : N. Gayathri
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-09
Harnessing Generative Ai written by N. Gayathri 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 2025-07-09 with Computers categories.
This book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration. Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. This volume provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, and audio, that closely mimics human creativity and intelligence. Readers will gain valuable insights into the fundamentals of generative AI, innovative applications, ethical and social considerations, interdisciplinary insights, and future directions of this invaluable emerging technology. Generative AI: Disruptive Technologies for Innovative Applications is an indispensable resource for researchers, practitioners, and anyone interested in the transformative potential of generative AI in revolutionizing industries, unleashing creativity, and pushing the boundaries of what’s possible in artificial intelligence. Audience AI researchers, industry professionals, data scientists, machine learning experts, students, policymakers, and entrepreneurs interested in the innovative field of generative AI.
Kickstart Artificial Intelligence Fundamentals
DOWNLOAD
Author : Dr. S.Mahesh Anand
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-03-29
Kickstart Artificial Intelligence Fundamentals written by Dr. S.Mahesh Anand and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Computers categories.
TAGLINE Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions KEY FEATURES ● Hands-on AI guide with Python, TensorFlow, and Keras implementations. ● Step-by-step walkthroughs of Machine Learning, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) models. ● Bridges AI theory with real-world applications and coding exercises. DESCRIPTION AI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field. Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neural Networks. Tailored for all AI enthusiasts, this book provides hands-on Python implementation using the TensorFlow-Keras framework, ensuring a seamless learning experience from theory to practice. Bridging the gap between concepts and real-world applications, this book offers intuitive explanations, mathematical foundations, and practical use cases. Readers will explore supervised and unsupervised Machine Learning models, master Convolutional Neural Networks for image classification, and leverage Long Short-Term Memory networks for time-series forecasting. Each chapter includes coding examples and guided exercises, making it an invaluable resource for both beginners and advanced learners. Beyond technical expertise, this book explores emerging trends like Generative AI and ethical considerations in AI, preparing readers for the challenges and opportunities in the field. This book will provide you the essential knowledge and hands-on experience to stay competitive. Don’t get left behind—embrace AI and future-proof your career today! WHAT WILL YOU LEARN ● Build and train machine learning models for real-world datasets. ● Apply neural networks to classification and regression tasks. ● Implement CNNs and LSTMs for vision and sequence modeling. ● Solve AI problems using Python, TensorFlow, and Keras. ● Fine-tune pre-trained models for domain-specific applications. ● Explore generative AI for creative and industrial use cases. WHO IS THIS BOOK FOR? This book is tailored for students in AI courses at leading universities and professionals transitioning into AI. Suitable for undergraduates in BE, BTech, BCA, MCA, and related fields, as well as data scientists, software engineers, and analysts, it bridges AI theory with hands-on Python applications. Whether you're a beginner or an expert, this guide equips you with essential AI and GenAI skills. TABLE OF CONTENTS 1. Introduction and Evolution of AI Technologies 2. Modern Approach to AI 3. Introduction to Machine Learning 4. Regression Versus Classification Model 5. Naive Bayes as a Linear Classifier 6. Tree-Based Machine Learning Models 7. Distance-Based Machine Learning Models 8. Support Vector Machines 9. Introduction to Artificial Neural Networks 10. Training Neural Networks 11. Introduction to Convolutional Neural Networks 12. Classification Using CNN 13. Pre-trained CNN Architectures 14. Introduction to Recurrent Neural Networks 15. Introduction to Long Short-Term Memory (LSTM) 16. Application of LSTM in NLP and TS Forecasting 17. Emerging Trends and Ethical Considerations in AI Index