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...

This textbook provides a comprehensive introduction to the fundamental concepts of artificial intelligence and expert systems. It covers intelligent agents, problem-solving techniques, knowledge representation, reasoning methods, and search strategies. The book also explains how expert systems are designed, developed, and applied in real-world domains such as healthcare, finance, and engineering. Emphasis is placed on practical applications, intelligent decision-making, and the integration of AI with emerging technologies.