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This tutorial provides an introduction to deep learning algorithms, their workings, and their applications in various fields. Topics covered include neural network architectures, popular frameworks used for implementation, and common types of deep learning models. Additionally, we will explore real-world applications of these techniques to solve complex problems. Deep learning is an essential tool for data science and machine learning, allowing for the uncovering of hidden patterns in large datasets.
