DenseNet121

Researchers propose a decoupled transfer learning strategy that adapts normalization layers and precomputes features once, reducing training overhead without end-to-end backpropagation. Evaluated on f…

A developer built a hybrid quantum-classical model for brain tumor classification from MRI scans, adding a 4-qubit variational quantum circuit to a DenseNet121 backbone. The quantum layer improved acc…