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Deep Learning, as part of the Hardware hierarchy within Technology and Machine Learning, represents a sophisticated approach to artificial intelligence. It involves the use of complex algorithms to model high-level abstractions in data, enabling machines to learn from experience and understand the world around them in a more human-like manner. Deep Learning models are designed to automatically and adaptively learn to represent data by training on a large amount of information, making them highly effective for tasks such as image and speech recognition, natural language processing, and game playing. These models rely heavily on specialized hardware, including graphics processing units (GPUs) and tensor processing units (TPUs), which are capable of performing the massive computations required for Deep Learning at scale.