Introduces a functional framework for deep neural networks with adaptive piecewise-linear splines, focusing on biomedical image reconstruction and the challenges of deep splines.
Explains the learning process in multi-layer neural networks, including back-propagation, activation functions, weights update, and error backpropagation.