Can deep learning models interpret themselves? How?
Despite the fact that deep learning models are complex and often called "black boxes", they can be interpreted by using different techniques. Interpretation is a way to make deep learning models more understandable for humans. This shows how the models generate and process outputs. It is difficult to interpret neural networks because of their complexity and nonlinearity. This can provide valuable insight into how they make decisions. https://www.sevenmentor.com/da....ta-science-course-in
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