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100-Days-Of-ML-Code中文版
100 Days of ML Coding
『ゼロから作る Deep Learning』のリポジトリ
This is code implementation for a paper on "Effective Handwritten Digit Recognition using Deep Convolution Neural Network". This paper proposed a simple neural network approach towards handwritten digit recognition using convolution. With machine learning algorithms like KNN, SVM/SOM, recognizing digits is considered as one of the unsolvable tasks due to its distinctiveness in the style of writing. In this paper, Convolution Neural Networks are implemented with an MNIST dataset of 70000 digits with 250 distinct forms of writings. The proposed method achieved 98.51% accuracy for real-world handwritten digit prediction with less than 0.1 % loss on training with 60000 digits while 10000 under validation.
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:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
微信小程序
PRML algorithms implemented in Python
Ryu component-based software defined networking framework
图解遗传算法求解TSP
微信小程序示例教程(豆瓣电影)精简版本,老版本(包含工作流):https://github.com/zce/weapp-demo
微信小程序版的知乎日报,现在实现的比较简陋,以后随着小程序的完善,我也会完善这个项目
WeChat miniprogram learning examples. 微信小程序示例
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