December 2020
Intermediate to advanced
306 pages
6h 59m
English
Overview
Hands-On Image Generation with TensorFlow is a comprehensive guide to mastering various image generation techniques using deep learning and TensorFlow 2.x. Through practical examples and step-by-step explanations, you will learn how to create and customize generative models to produce vivid, realistic, and artistic images and videos for diverse applications.
What this Book will help me do
- Learn to implement and train image generation models like VAEs, DCGANs, StyleGANs, and more using TensorFlow 2.x.
- Develop the ability to edit, enhance, and morph facial images using latent space exploration and deepfake techniques.
- Master style transfer methods to turn photographs into artistic images resembling famous painter styles.
- Explore image-to-image translation utilizing advanced generative models and GAN techniques.
- Understand and apply state-of-the-art attention generative models for creating high-quality photorealistic media.
Author(s)
Soon Yau Cheong is a seasoned deep learning practitioner with extensive experience in computer vision and image synthesis technologies. Having worked on a variety of cutting-edge projects in academia and industry, Soon excels at explaining technical concepts with clarity and enthusiasm. His dedication to empowering others to understand and harness advanced technologies shines in his writing and teaching.
Who is it for?
Engineers, researchers, and practitioners in the field of artificial intelligence and computer vision who aim to gain proficiency in generative techniques will benefit most from this book. If you have foundational knowledge of Python programming and TensorFlow and are looking to expand your skills into creating state-of-the-art image and video generative models, this guide is tailored for you.
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