搜索资源列表
test
- python实现用逻辑回归识别和分类人工手写数字-Classifying MNIST digits using Logistic Regression
MNIST
- MNIST手写体数字识别库及图片提取代码MNIST手写数字库识别实现摘要手写数字识别是模式识别的应用之一。文中介绍了手写数字的一些主要特征,并提出了截断次数特征并利用截断次数特征进行了实验(MNIST handwritten digital identification library and picture extraction code MNIST handwritten numeral library identification implementation summary Handwr
MNIST
- 简单的手写数字识别，在深度神经网络中的简单尝试，对于初学者有个很好的理解(Simple handwritten numeral recognition, in the depth of neural network simple attempt, for beginners have a good understanding)
mnist
- 深度学习时间手写数字识别，使用python和tensorflow实现(Handwritten numerals recognition in depth learning time)
bpnn
- 用Python3实现BP神经网络对MNIST数字手写体识别，下载就能用(Using Python3 to implement BP neural network for MNIST digital handwriting recognition, download can be used)
5-4 tensorboard visualization
- tensorflow手写数字识别学习，根据样本进行计算(learn TensorFlow with mnist)
纯C-CNN
- 纯C深度学习库，里面包含MNIST手写数字识别数据集，编译就能训练和预测(Pure C depth learning library, which contains MNIST handwritten digital recognition data sets, compiling can be trained and predicted.)
lenet-mnist-master
- 使用Lenet网络对手写数字进行识别，识别效果比较好(Recognition of handwritten numerals by using Lenet network has better recognition effect.)
BP_mnist_UI-master
- 基于BP神经网络的手写数字识别，有完整代码(based image segmentation algorithm)