Which of these technologies typically relies on neural networks?

Deep Learning models are closely associated with neural networks because they are built upon and utilize these structures to process and learn from complex datasets. Neural networks are computational models inspired by the human brain's network of neurons, consisting of interconnected nodes that can learn and recognize patterns through layers of nodes.

Deep Learning, a subset of machine learning, specifically uses deep neural networks, which include multiple layers of neurons. These models are particularly effective for tasks such as image recognition, natural language processing, and other areas that involve large amounts of unstructured data.

In contrast, standard programming languages do not inherently involve neural networks, as they can be used for a broad range of programming tasks without a focus on machine learning. Basic spreadsheet applications primarily rely on predefined formulas and functions for data manipulation and analysis, while simple data entry systems are designed for inputting data rather than processing it through advanced algorithms like neural networks.