GitHub

Xiaohan-Chen/transfer-learning-fault-diagnosis-pytorch

For further introductions to transfer learning in bearing fault diagnosis, please read our paper. And if you find this repository useful and use it in your works, please cite our paper, thank you~: ...
IEEE

An Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus

Abstract: Complex-valued neural network is a kind of learning model which can deal with problems in complex domain. Fully complex extreme learning machine (CELM) is a much faster training algorithm ...

In 1986, three scientists improved backpropagation, making neural networks learn effectively from data

A groundbreaking 1986 technique called backpropagation revolutionized artificial intelligence, enabling computers to learn ...
IEEE

Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory

Abstract: By performing computation at the location of data, non-Von Neumann (VN) computing should provide power and speed benefits over conventional (e.g., VN-based) approaches to data-centric ...
GitHub

DDPG: Deep Deterministic Policy Gradients

The algorithm consists of two networks, an Actor and a Critic network, which approximate the policy and value functions of a reinforcement learning problem. The name DDPG, or Deep Deterministic Policy ...