introduction to deep learning from logical calculus to artificial intelligence pdf bzzk

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==> introduction to deep learning from logical calculus to artificial intelligence pdf <==

"Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence" is a comprehensive exploration of deep learning that connects fundamental concepts in logic and calculus to the more complex ideas within artificial intelligence. The book typically begins by laying the groundwork in logical frameworks, illustrating how these principles underpin computational models. It then delves into mathematical concepts such as linear algebra and calculus, emphasizing their relevance to understanding neural networks and optimization techniques. As the narrative progresses, the text transitions into discussing various architectures of deep learning, including convolutional and recurrent neural networks, and how they mimic cognitive processes. By bridging theoretical foundations with practical applications, the book aims to provide readers with a robust understanding of how deep learning can be employed to solve real-world problems, thereby presenting a holistic view of the field. The ultimate goal is to equip readers with the necessary tools and knowledge to innovate and contribute to advancements in artificial intelligence, making it a valuable resource for both newcomers and those seeking to deepen their expertise.