RNN regressor currently has linear for both hidden and final layer activations, which essentially defeats the purpose of using a neural network and reduces the whole setup to linear regression. If you ...
Abstract: Homomorphic Encryption (HE) enables secure computations on encrypted data, facilitating machine learning inference in sensitive environments such as healthcare and finance. However, ...
ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...
We present an in vitro neuronal network with controlled topology capable of performing basic Boolean computations, such as NAND and OR. Neurons cultured within polydimethylsiloxane (PDMS) ...
sigmoid/logistic — takes any real value as input and outputs a number 0-1. larger the input (more positive), closer it is to 1; and vice versa. $f(x) = 1/(1+e^{-x ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Batch reactors are type of chemical reactors, where the reactants are loaded to ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback