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jza-123's Projects

blog icon blog

随写工作中遇到的问题、学习的心得,于己总结回顾,与他分享讨论。。。

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

deep-learning icon deep-learning

:computer:深度学习实战:实战教程、手写数字识别、Discuz验证码识别

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

dive-into-dl-pytorch icon dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

leetcode icon leetcode

:monkey:LeetCode、剑指Offer刷题笔记(C/C++、Python3实现)

machine-learning icon machine-learning

: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

machine-learning-learning-notes icon machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍,书中详细介绍了机器学习领域不同类型的算法(例如:监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等),记录了本人在学习过程中的理解思路与扩展知识点,希望对新人阅读西瓜书有所帮助!

mark icon mark

本项目使用python3.5.2,使用scrapy作为爬取框架,主要爬取银行营销信息的爬虫项目,使用selenium模拟人工操作流程,包括保存登录信息cookies。 模拟人工操作规避ajax请求的动态渲染等问题,主要爬取银行官网,微信搜狗上银行的信息,微小宝上银行信息,银行标书中标易,剑鱼等的来源。使用mysql作为持久化保存数据。

ml-from-scratch icon ml-from-scratch

机器学习算法 基于西瓜书以及《统计学习方法》,当然包括DL。

nndl.github.io icon nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

pumpkin-book icon pumpkin-book

《机器学习》(西瓜书)公式推导解析,在线阅读地址:https://datawhalechina.github.io/pumpkin-book

scrapy_crawls_projects icon scrapy_crawls_projects

这里保存所有用scrapy框架的爬虫项目,包括智联招聘的爬虫,应届生求职网等网站的爬虫项目

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