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Neural networks, those intricate structures, have transformed fields like image recognition and natural language processing. However, their inner workings remain shrouded in mystery, a metaphorical black box. Understanding how these complex systems learn is essential for building confidence and reducing potential biases. This exploration dives into

Deep learning has emerged as a revolutionary force in the realm of natural language understanding (NLU). By leveraging vast corpora of text and code, deep learning algorithms can learn complex linguistic patterns and relationships. This capacity enables them to perform a wide range of NLU tasks, such as text classification, sentiment analysis, ques

Deep learning has disrupted the field of natural language processing (NLP), enabling systems to process human language with unprecedented accuracy. Neural networks, particularly those with multiple layers, have proven remarkable at learning complex patterns and relationships within text data. This has led to innovations in a wide range of NLP tasks