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DeepNeuralNetwork20131115
- It provides deep learning tools of deep belief networks (DBNs).-Run testDNN to try! Each function includes descr iption. Please check it! It provides deep learning tools of deep belief networks (DBNs) of stacked restricted Boltzmann machines (RB
深度神经网络
- It provides deep learning tools of deep belief networks (DBNs).-Run testDNN to try! Each function includes descr iption. Please check it! It provides deep learning tools of deep belief networks (DBNs) of stacked restricted Boltzmann machines (RBMs).
NN
- 改进过的BP算法，有dropout,和weight decay项，可以设置三种激活函数。可以用来分类。-BP had improved algorithm, dropout, and weight decay term, you can set three activation functions. It can be used for classification.
Data_statistic_analysis_txt
- 代码为一个低压差线性稳压器的输出电压的统计分析，给出了输出电压在不同范围的统计分布-Change the code to a low-dropout linear regulator output voltage of statistical analysis, given the statistical distribution of the different output voltage ranges
DeepLearningDropout-master
- dropout和深度学习算法的结合使用，有详细的使用说明和数据集(Three types of layers: - C: convolutional layer (matrix map) - MP: max-pooling layer (matrix map) - F: fully connected layer (vector map) - O: output layer Convolutional Layers: - Scale: scale (size of p
Dropout
- Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification 2016年CVPR的一篇论文 行人再识别方法(Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification A CVPR Paper 2016 Pedestrian Reidenti