The Deep Learning textbook provides a comprehensive introduction to the field of deep learning-a branch of machine learning focused on algorithms inspired by the structure and function of the brain's neural networks. It covers foundational topics such as linear algebra, probability, and information theory before delving into core deep learning concepts, including neural networks, optimization techniques, and regularization.Advanced topics include convolutional networks, sequence modeling (such as RNNs), generative models, and deep reinforcement learning. The book also explores theoretical...

Fog computing is an emerging paradigm in the field of distributed computing that acts as an extension of cloud computing. Unlike the traditional cloud model, which relies on centralized data centres located far from the end users, fog computing brings computation, storage, and networking services closer to the physical location of data sources and users. This proximity to end devices significantly reduces communication latency, enhances data processing speed, and supports real-time decision-making, which is critical in applications that demand immediate responses, such as autonomous vehicles,...