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Enhancing Neural Network Performance with Dropout Techniques
Introduction In the field of machine learning, neural networks are highly effective, excelling in tasks like image recognition and natural language processing. However, these powerful models often face a significant challenge: overfitting. Overfitting is akin to training a student only with past exam questions – they perform well on those specific questions but struggle with…