{"product_id":"autoencoders-vaes-aeronis-krynn-9798298781138","title":"Autoencoders \u0026 VAEs: Hands-On Generative AI Projects","description":"The ultimate project-based guide to mastering autoencoders, VAEs, and creative generative AI with PyTorch and TensorFlow \u003cp\u003e\u003c\/p\u003eEver wondered how AI can compress an image into a handful of numbers-and then recreate it with uncanny precision? Or how a neural network can dream up new data-images, sounds, even faces-out of thin air? That's not magic. That's the power of autoencoders and variational autoencoders (VAEs)-and you're about to learn how to wield it. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAutoencoders \u0026amp; VAEs: Hands-On Generative AI Projects\u003c\/b\u003e is your action-packed guide to understanding and building these core generative AI models. No dry lectures. No endless math detours. Just hands-on projects, clear explanations, and real-world applications that bring theory to life. \u003cp\u003e\u003c\/p\u003eWhether you're a curious beginner, machine learning enthusiast, or a developer looking to add generative AI to your skillset, this book gives you everything you need to get started-and go deep. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat You'll Learn: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eBuild autoencoders and VAEs from scratch using PyTorch and TensorFlow\u003c\/li\u003e\n\u003cli\u003eVisualize latent space and generate new data samples\u003c\/li\u003e\n\u003cli\u003eUse denoising autoencoders to clean up corrupted inputs\u003c\/li\u003e\n\u003cli\u003eCreate β-VAE, Conditional VAE (CVAE), Ladder VAE, and VAE-GAN hybrids\u003c\/li\u003e\n\u003cli\u003eExplore the creative potential of latent variables in generative tasks\u003c\/li\u003e\n\u003cli\u003eDeploy your models using Flask, FastAPI, Streamlit, and Gradio\u003c\/li\u003e\n\u003cli\u003eBuild a mini generative web app to showcase your models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWhy Autoencoders \u0026amp; VAEs?\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eAutoencoders are one of the most versatile tools in the deep learning toolbox, used for dimensionality reduction, anomaly detection, data denoising, and more. VAEs take it further, enabling data generation, style transfer, and creative AI applications. \u003cp\u003e\u003c\/p\u003eThis book is your step-by-step guide to mastering both, with side-by-side implementations in two of the most popular AI frameworks-so you become bilingual in TensorFlow and PyTorch. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eBuilt for Builders\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eThis isn't a book for armchair theorists. This is for the tinkerers, the doers, the \"what if I break it?\" crowd. Every chapter includes: \u003cul\u003e\n\u003cli\u003eClear explanations with code walkthroughs\u003c\/li\u003e\n\u003cli\u003eHands-on projects you can build and expand\u003c\/li\u003e\n\u003cli\u003eReal-world use cases and practical tips\u003c\/li\u003e\n\u003cli\u003eHumor, analogies, and caffeine-powered energy to keep it fun\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003ePart of The Generative AI Blueprint Series\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eThis is Volume 4 in the best-selling Generative AI Blueprint series. Ready to go deeper?\u003cul\u003e\n\u003cli\u003eStart with Generative AI for Beginners or Python for AI if you're just getting started\u003c\/li\u003e\n\u003cli\u003eDive into GANs in Action to explore adversarial models\u003c\/li\u003e\n\u003cli\u003eExplore Transformers \u0026amp; GPT for cutting-edge language models\u003c\/li\u003e\n\u003cli\u003eLearn to scale with Fine-Tuning \u0026amp; Deploying AI Models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For: \u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eAI \u0026amp; ML students wanting real-world projects\u003c\/li\u003e\n\u003cli\u003eDevelopers and data scientists expanding into generative AI\u003c\/li\u003e\n\u003cli\u003eHobbyists and indie hackers building creative apps\u003c\/li\u003e\n\u003cli\u003eAnyone curious about how machines can learn to recreate and invent\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eLet's Get Building\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eFire up your environment, load up your datasets, and get ready to turn latent space into your creative playground. Whether you're cleaning images, generating faces, or designing AI art tools, you'll walk away with the skills and confidence to build your own generative AI projects-end to end. \u003cp\u003e\u003c\/p\u003e\u003ci\u003eAutoencoders \u0026amp; VAEs isn't just a book. It's a launchpad. \u003c\/i\u003e\u003cp\u003e\u003c\/p\u003eLet's make some neural magic happen.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Aeronis Krynn\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798298781138\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 08\/19\/2025\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 136\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.73lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 11.00h x 8.50w x 0.29d","brand":"Aeronis Krynn","offers":[{"title":"Paperback","offer_id":49083651096831,"sku":"9798298781138","price":34.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/autoencoders-vaes-aeronis-krynn-9798298781138","provider":"WR Book House","version":"1.0","type":"link"}