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

This study proposes theories and applications of probabilistic divergences to neural network training. This theory generalizes the cross-entropy method for backpropagation to the alpha-divergence ...

Build your own backpropagation algorithm from scratch using Python — perfect for hands-on learners!

In this tutorial, you’ll learn how to instantly build and replicate powerful automations in n8n using Claude 3.5/3.7, screenshots, transcripts, and cheat sheets. This method allows you to ...

Singh, A., Kushwaha, S., Alarfaj, M. and Singh, M. (2022) Comprehensive Overview of Backpropagation Algorithm for Digital Image Denoising. Electronics, 11, Article 1590.

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...

Natural neural systems have inspired innovations in machine learning and neuromorphic circuits designed for energy-efficient data processing. However, implementing the backpropagation algorithm, a ...

Hopfield’s work is not particularly in use today, but the backpropagation algorithm (co-invented by Hinton) has had a tremendous impact on many different sciences and technologies. This is ...