This paper presents a novel adaptive learning-rate backpropagation neural network (ALR-BPNN) algorithm based on the minimization of mean-square deviation (MSD) to implement a fast convergence rate and ...

Post-training quantization (PTQ) has emerged as a practical approach to compress large neural networks, making them highly efficient for deployment. However, effectively reducing these models to their ...

At the SXSW Conference in Austin, Texas, Ray Kurzweil made yet another prediction: the technological singularity will happen sometime in the next 30 years.

Cilimkovic, M. (2015) Neural Networks and Back Propagation Algorithm. Institute of Technology Blanchardstown, 15, 3-7.