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

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

Star 0 Code Issues Pull requests Sudoku Solver using a constraint satisfaction approach based on constraint propagation and backtracking and another one based on Relaxation Labeling sudoku-solver ...

A backpropagation algorithm is implemented in Python from scratch to perform a classification analysis.

A general backpropagation algorithm is proposed for feedforward neural network learning with time varying inputs. The Lyapunov function approach is used to rigo ...

This article proposes a sparsity-driven SNN learning algorithm, namely backpropagation with sparsity regularization (BPSR), aiming to achieve improved spiking and synaptic sparsity. Backpropagation ...

A backpropagation based algorithm for training nonlinear complex valued feed-forward neural networks employed as nonlinear adaptive filters is derived. The proposed normalised complex backpropagation ...