搜索资源列表
Image-Recognition
- This a sample of a simple image classification using K-Nearest Neighbor and Backpropagation Neural Network. It uses block averaging in feature extraction process.-This is a sample of a simple image classification using K-Nearest Neighbor and Backprop
BP-neural-network
- 倒傳遞類神經網路,廣泛應用於人工智慧系統-Neural backpropagation is the phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon (normal propagation) and back through to the dendritic arbor or dendrites, from which much of
AnnBp
- algorithm of backpropagation demo
BP_ANN-matlab
- BP神经网络，用于函数逼近。程序中先用一定间隔的函数数值对神经网络进行训练，待算法大致收敛后，然后用测试数据进行测试。并输出函数逼近的误差-BP feed-forward backpropagation network，which is used to approximate function.
backprop_code
- backpropagation source code
NNSimulator
- Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)-Neural Networks Backpropagation Simulator in Java. Converted C++ codes of the book, C++ Neural Networks and Fuzzy Logic)
MLP_BP-algoritm
- MLP backpropagation algoritm without toolbox
Multi-layer-perceptron
- XOR_Example % The matrix implementation of the Backpropagation algorithm for two-layer
retropropagacionv2
- Backpropagation example
backpropagationcode1
- Backpropagation code
firnet
- 有限脉冲神经网络MATLAB源码，由波兰国立大学生物医药信号处理实验室提供。FIR 神经网络属于一种BP神经网络。-Finite Impulse Response (FIR) neural network models each synapse as a linear filter to provide dynamic interconnectivity. Temporal backpropagation is used to train the network in which error t
cudann
- 一个前馈反向传播人工神经网络的实现，并应用CUDA加速-Implementation of a feed-forward backpropagation artificial neural network using CUDA
NNPSOTrainer
- Tran a neural network using a combination of PSO and backpropagation algorithm
Neurony
- Creating perceptron and BackPropragation Algorithm in matlab
DeepLearnToolbox-master
- 这是用于深度学习的Matlab工具箱 深度学习是机器学习的一个新的子领域，专注于学习深层次的数据模型。 它的灵感来自于人类大脑的明显的深层次（分层的）层次结构。 目录包括`NN /` - 一个用于前馈反向传播神经网络的库，`CNN /` - 卷积神经网络库，`SAE /` - 堆叠式自动编码器库，`CAE /` - 卷积自动编码器库，`util /` - 库使用的功能函数，`data /` - 实例使用的数据，`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab to
BPNN-master
- 反向传播神经网络,两输入两隐含单元一输出(Backpropagation Neuron Network)
BP神经网络程序
- 是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。(It is a multilayer feedforward network trained by error backpropagation algorithm, and is one of the most widely used neural network models. BP networks can learn a
NatureDeepReview
- 深度学习允许由多个处理层组成的计算模型来学习具有多个抽象层次的数据表示。这些方法极大地提高了语音识别、视觉对象识别、目标检测以及药物发现和基因组学等许多领域的最新进展。深度学习发现复杂的结构在大数据集，通过使用反向传播算法来指示一台机器应该如何改变其内部参数，用于计算在每一层的代表性，从上一层的代表。深层卷积网在处理图像、视频、语音和音频方面取得了突破性进展，而递归网络则在文本和语音等连续数据上起到了作用。(Deep learning allows computational models th
人工神经网络后向传播算法推导
- 机器学习中神经网络的后向传播算法的相关推导(The derivation of backpropagation algorithm for neural networks in machine learning)
main
- 神经网络，前向传播，反向传播，减小loss值(Neural network, forward propagation, backpropagation, reduce loss value)