Difference between Deep Learning and Natural Language Processing?

I have inclinations to focus on Deep Learning (DL) and Machine Learning (ML) by comparing them to NLP. Simply put, NLP is the task of taking words that humans or software programs use, and then converting them into a specific meaning that a machine or human can understand. This is the key difference between Machine Intelligence versus Natural Language Processing. NLP redefines that how a machine can understand human language and behavior.

Deep learning is a subset of machine learning that uses neural networks to model complex functions. Natural Language Processing (NLP) is the use of computers to understand human speech and text. A computer capable of reading almost any document learns the content, analyse it grammatically, and try to answer questions about its meaning or context.

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