A concise and informative guide covering key topics in deep learning, machine learning, and neural networks. Explore foundations, model architectures, and practical applications.
The Little Book of Deep Learning by François Fleuret is a concise and informative guide that covers key topics in deep learning, machine learning, and neural networks.
Highlights
Covers foundations of machine learning, efficient computation, and training techniques
Explores model components and architectures including MLPs, CNNs, and Transformers
Discusses applications of deep learning for prediction, synthesis, and the compute schism
Recommendation
This book is recommended for anyone interested in gaining a solid understanding of the core concepts and practical applications of deep learning. It provides a comprehensive yet accessible overview of the field, making it a valuable resource for both beginners and experienced practitioners.
How GetVM Works
Learn by Doing from Your Browser Sidebar
Access from Browser Sidebar
Simply install the browser extension and click to launch GetVM directly from your sidebar.
Select Your Playground
Choose your OS, IDE, or app from our playground library and launch it instantly.
Learn and Practice Side-by-Side
Practice within the VM while following tutorials or videos side-by-side. Save your work with Pro for easy continuity.