👉 Misframes are a type of neural network architecture that is known for its ability to learn complex patterns and relationships in data, yet it can also lead to overfitting if not properly configured. The term "misframe" refers to an instance where a layer's activation function produces output values that are not consistent across different inputs or when the input data does not match the desired pattern. Misframes are often used in deep learning models for tasks such as image classification, natural language processing, and speech recognition