Explore the convergence of deep learning and GPU technology. This book is a complete guide for
those wishing to use GPUs to accelerate AI workflows. The book is meant to make complex
concepts understandable with step-by-step instructions on how to set up and use GPUs in deep
learning applications. Starting with an introduction to the fundamentals you'll dive into
progressive topics like Convolutional Neural Networks (CNNs) and sequence models exploring how
GPU optimization boosts performance. Further you will learn the power of generative models
and take your skills by deploying AI models on edge devices. Finally you will master the art
of scaling and distributed training to handle large datasets and complex tasks efficiently.
This book is your roadmap to becoming proficient in deep learning and harnessing the full
potential of GPUs. What You Will Learn: How to apply deep learning techniques on GPUs
to solve challenging AI problems. Optimizing neural networks for faster training and
inference on GPUs Integration of GPUs with Microsoft Copilots Implementing VAEs
(Variational Autoencoders) with TensorFlow and PyTorch Who This Book Is For: Industry
IT professionals in AI. Students pursuing undergraduate and postgraduate degrees in Engineering
Computer Science Data Science.
