A big problem in deep learning is that neural networks are black boxes — they cannot be ‘interpreted’.
Can Mechanistic Interpretability be Applied to Connectomics?
Can Mechanistic Interpretability be Applied…
Can Mechanistic Interpretability be Applied to Connectomics?
A big problem in deep learning is that neural networks are black boxes — they cannot be ‘interpreted’.