An Exponential Convolutional Neural Network for Rapid Detection of Bacteria from Raman Spectra on Edge Devices
Lauren Mason
The convolutional network is the preferred option for handling large input sizes and is commonly used in neural networks for most applications. In this experiment we demonstrate the performance of a modified convolutional neural networks (CNN) using an exponent based weight. The Exponential Convolutional Neural Network (ECNN) was tested on bacteria classification, with different model . . .