The esp-nn optimized convolution functions are producing incorrect outputs, leading to a significant drop in model accuracy from 92% to below 70%. When using the standard ANSI C implementation, the ...
Abstract: With the rapid expansion of wireless communication, modulation classification has become a crucial component of spectrum management and interference detection. Traditional methods face ...
This project implements a neural network from scratch to classify handwritten digits using the MNIST dataset. The neural network is built using Python and utilizes libraries such as NumPy and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback