Implementing multilayer neural networks through backpropagation using Java.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
翻译 - 具有完整GPU支持和O（1）内存反向传播的可微分ODE求解器。
A simple Python script showing how the backpropagation algorithm works.
Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.
🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js
学习反向传播的python3代码
Available when training a Neural Network, or an Autoencoder.
Neural Network Backpropagation Algorithm. Implementation using python
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
Hierarchical Encoder Decoder RNN (HRED) with Truncated Backpropagation Through Time (Truncated BPTT)
Unsupervised Domain Adaptation by Backpropagation
Backpropagation neural network in python/numpy
Simple object-oriented implementation of a multi-layer perceptron which uses the back propagation algorithm to learn
Implements back propagation in C.
Code for "The Reversible Residual Network: Backpropagation Without Storing Activations"
A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
An optical flow forward warp's lib with backpropagation using pytorch.
A high performance impermentation of Unsupervised Image Segmentation by Backpropagation - Asako Kanezaki
Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
Implement a Neural Network trained with back propagation in Python
This is the code of the paper "Fractional-Order Deep Backpropagation Neural Network".
This is an efficient implementation of a fully connected neural network in NumPy. The network can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation and scaled ...
Code for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"