Abstract: Constrained nonlinear equations (CNEs) are involved in numerous practical applications, and many solutions to CNEs have been reported. In particular, a special neural network called zeroing ...

In other words: What's the "convolutional neural network" equivalent of a neural network operating on images represented by implicit representations? The following three papers first (and concurrently ...

The calculation for the Softmax output layer is as follows Equation 7: K represents the number of ... This study proposes a Pseudo-3D Convolutional Neural Network (P-3DCNN) structure based on ...

Instead of using finite differences to approximate derivatives, which demands oversampling to minimize numerical errors, a convolutional neural ... of the network, given the correct recurrent form and ...

Bayesian-Torch is a library of neural network layers and utilities extending the core of PyTorch to enable Bayesian inference in deep learning models to quantify principled uncertainty estimates in ...