搜索资源列表
SparkMLlibDeepLearn-master
- scala脚本编写的深度学习算法，包含有DBN,CNN,CAE，NN,SAE(scala scr ipt prepared by the depth of learning algorithms, including DBN, CNN, CAE, NN, SAE)
DeepLearn重要
- 深度学习方面的资料，其中包括cnn、dbn、nn等算法(deeplearning important)
DeepLearnToolbox-master
- 主要是深度学习相关的工具包，包括CNN+DBN+NN等,使用matlab实现。(Deep learning related toolkits, including CNN+DBN+NN and so on, are implemented using matlab.)
DBN的matlab代码
- 这是一个关于用数字识别训练一个手写数字识别的深度神经网络事例(This is a deep neural network example that uses digital recognition to train a handwritten numeral recognition)
DeepLearnToolbox-master
- 深度学习工具包(包含DBN，NN，CNN基础代码）(deep learning tool bar)
DBN代码
- MATLAB实例与人工智能神经网络深度学习深度信念网络(MATLAB instance and artificial intelligence neural network deep learning deep belief network)
DeepLearnToolBox
- DBN的实现（DeepLeranToolBox）举例(an example for DeepLeranToolBox)
dbn
- 本程序是用python写的一个深度学习程序，该程序基于限制性玻尔兹曼机实现了深度信念网络。(This procedure is a deep learning program written in python, the program based on the limited Boltzmann machine to achieve a depth of faith network.)
RBMLIB_DBN
- 限制玻尔兹曼机和深度信念网络的matlab代码，有具体例子(matlab code Restricted Boltzmann machine and Deep Belief networks, with specific examples)
rbpfdbn
- 深度置信网络 径向基神经网络，用于深度学习的matlab代码(the test example code of dbn net, it is the example code in matlab)
LiftingWaveletTransform-master
- 基本的小波变换程序 具体内容参阅文件说明(Wavelet transform (1d & 2d) haar, dbN, symn)
123
- 很好的深度学习资料，用深度学习dbn模型在这个轴承故障的分类上一个很好的应用(Using this deep learning DBN model in bearing fault classification)
DeepLearnToolbox-master
- 集中经典的DeepLearning算法 CNN SAE DBN等(Deep Learning CNN SAE DBN Several classic DeepLearning algorithms CNN SAE DBN etc)
深度学习工具包matlab
- 深度学习matlab工具包 包括SAE DBN CNN 等matlab代码(Deep learning matlab tool kit includes SAE DBN CNN and other matlab code)
RBM-DBN
- 有限玻尔兹曼机、深度置信网的Matlab实现，用mnist数据进行验证，对理解深度学习原理有帮助。(A Finite Boltzmann machine and deep belief network are implemented in MATLAB and verified with MNIST data. It is helpful to understand the principle of deep learning.)
dbn-master
- 度信念网络是一个概率生成模型，与传统的判别模型的神经网络相对，生成模型是建立一个观察数据和标签之间的联合分布，对P(Observation|Label)和 P(Label|Observation)都做了评估，而判别模型仅仅而已评估了后者，也就是P(Label|Observation)。(The degree belief network is a probability generation model. Compared with the neural network of the tradi
1D-CNN
- 一维信号的深度学习算法和例子包括CNN、DBN等，有详细的说明(Deep Learning Algorithms and Examples for One-Dimensional Signals)
深度机器学习DBN
- 深度神经网络算法，可直接用用于模型训练，进行机器学习。算法可靠。(The deep neural network algorithm can be directly used for model training and machine learning. The algorithm is reliable.)
DeepLearnToolbox-master
- CNN,DBN算法可以对手写体数字进行识别，准确率高(CNN and DBN algorithm can recognize handwritten numerals with high accuracy)
快速学习算法
- 该算法是一个主要针对人工智能神经网络中DBN网络的一种快速学习算法