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 ...

In this regard, Hinton proposes the FF algorithm as an alternative to backpropagation for neural network learning. The FF algorithm is inspired by Boltzmann machines (Hinton and Sejnowski, 1986) and ...

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 ...