Overview

Artificial Intelligence is no longer just about automation and data analysis-it's creating art, composing music, generating human-like text, and even building realistic virtual worlds. At the heart of this revolution lies Generative Adversarial Networks (GANs), a breakthrough deep learning technology that enables AI to generate synthetic content indistinguishable from real-world data. In GANs & AI Creativity: Building Synthetic Intelligence, the 12th book in the ""AI from Scratch"" series, Gilbert Gutiérrez guides you through a step-by-step journey into the world of GANs, covering everything from foundational concepts to advanced implementations. Whether you're a beginner looking to understand the basics or a professional aiming to build and optimize cutting-edge GAN models, this book offers a complete roadmap to mastering AI-generated creativity. What You'll Learn in This Book Part 1: Foundations of GANs What are GANs, and how do they work? The role of the generator and discriminator in adversarial learning The mathematics behind GANs: probability, optimization, and loss functions Different types of GANs: Vanilla GAN, DCGAN, WGAN, CycleGAN, and StyleGAN Part 2: Building GANs from Scratch Setting up your Python deep learning environment (TensorFlow & PyTorch) Step-by-step implementation of a simple GAN Debugging common training issues: mode collapse, vanishing gradients, and instability Hyperparameter tuning and optimization techniques Part 3: GANs in Creative AI How GANs are used in AI-generated art, design, and photography Music and sound synthesis with GANs: AI composers and voice generation Using GANs for text generation and storytelling AI-powered game development, character design, and procedural world-building Part 4: Advanced GAN Architectures & Applications StyleGAN: Creating ultra-realistic human faces and high-resolution images CycleGAN: Image-to-image translation and domain adaptation Text-to-image GANs (DALL-E, Imagen) for AI-driven creativity 3D GANs for virtual worlds, metaverse, and augmented reality Part 5: Ethics, Challenges, and the Future of Synthetic Intelligence The rise of deepfakes and how to detect them AI bias and ethical concerns in AI-generated media Who owns AI-generated content? Legal and copyright challenges The role of GANs in medicine, science, and robotics The future of AI-generated creativity and its impact on society Why This Book? Step-by-Step Learning - Learn GANs from scratch, with hands-on coding tutorials Focus on AI Creativity - Covers AI-generated art, music, storytelling, and more Practical & Research-Based - Includes real-world case studies and latest advancements Ethical & Legal Insights - Understand AI's role in deepfakes, misinformation, and copyright laws Master AI Creativity & Build the Future GANs are shaping the future of AI-driven creativity, from hyper-realistic imagery and deepfake technology to AI-generated music, literature, and virtual worlds. As AI continues to evolve, understanding GANs and their ethical implications is essential. With clear explanations, hands-on projects, and expert insights, GANs & AI Creativity: Building Synthetic Intelligence will empower you to explore, experiment, and innovate with synthetic intelligence. Are you ready to unlock the creative power of AI?

Full Product Details

9798310563636

Table of Contents

Reviews

Author Information

Tab Content 6

Countries Available