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python使用反向传播(backpropagation)算法在sklearn库自带的缩小版MINIST手写数据集(1797张图片)上进行训练并测试

python代码实现 神经网络的构建,NeuralNetwork.py import numpy as np # layers: A list of integers which represents the actual architecture of the feedforward # network. For example, a value of [2,2,1] would imply that our first input layer has two nodes, # o

POJ - 1797 Heavy Transportation (最短路dijstra)

https://vjudge.net/problem/POJ-1797 POJ - 1797 Heavy Transportation 最短路dijstra 题目分析AC代码 题目 Background Hugo Heavy is happy. After the breakdown of the Cargolifter project he can now expand business. But he needs a clever man who tells him

DL之RBM:(sklearn自带数据集为1797个样本*64个特征+5倍数据集)深度学习之BRBM模型学习+LR进行分类实现手写数字图识别

DL之RBM:(sklearn自带数据集为1797个样本*64个特征+5倍数据集)深度学习之BRBM模型学习+LR进行分类实现手写数字图识别     目录 输出结果 实现代码     输出结果   实现代码 from __future__ import print_function print(__doc__) import numpy as np imp