In the era of big data and even bigger machine learning models, the environmental footprint of these technologies can no longer be ignored. This much-needed guide confronts the challenge head-on, offering a groundbreaking exploration into making deep learning (DL) both efficient and accessible. Author Raghavendra Selvan exposes the high costs-both environmental and economic-of traditional DL methods and presents practical solutions that pave the way for a more sustainable AI.

This essential read is for anyone in the machine learning field, from the academic researcher to the industry practitioner, who wants to make a meaningful impact on both their work and the world. This book enables readers to be agents of change toward a more sustainable and inclusive technological future. In this book, you will:

• Learn strategies to significantly reduce the energy consumption, carbon footprint, and hardware demands of DL models
• Examine ways to break down barriers and foster a more inclusive future in AI development
• Explore strategies for cutting costs and minimizing ecological impact
• Learn how to balance performance with efficiency in model development
• Gain proficiency in cutting-edge tools that enhance the sustainability of your AI projects