Computational Methods for Deep Learning

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Focusing on knowledge transfer through the lens of machine intelligence, this textbook uniquely combines deep learning, machine learning, and artificial neural networks. It progressively introduces concepts, starting from basic to advanced topics. The methodology encompasses graphical theory, mathematical modeling, and algorithmic implementation, while also addressing dataset preparation, programming, and the analysis and evaluation of results, making it a comprehensive resource for understanding the intricacies of machine learning.