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會一點點Java.

這里都不能在文章里貼github和vscode市場的鏈接。所以我決定退出。語雀、掘金、知乎、B站、抖音、微信視頻號同名就是我。

熱愛生活。

本人公眾號 “華仔聊技術(shù)”<br><br>十年互聯(lián)網(wǎng)人，個人IP&amp;公眾號博主，主攻中間件相關(guān)硬核技術(shù)<br><br>公眾號kafka系列文章:<br><a href="https://links.jianshu.com/go?to=https%3A%2F%2Fmp.weixin.qq.com%2Fmp%2Fappmsgalbum%3F__biz%3DMzg3MTcxMDgxNA%3D%3D%26action%3Dgetalbum%26album_id%3D2147575846151290880%26scene%3D173%26from_msgid%3D2247488854%26from_itemidx%3D1%26count%3D3%26nolastread%3D1%23wechat_redirect" target="_blank">https://mp.weixin.qq.com/mp/appmsgalbum?__biz=Mzg3MTcxMDgxNA==&amp;action=getalbum&amp;album_id=2147575846151290880&amp;scene=173&amp;from_msgid=2247488854&amp;from_itemidx=1&amp;count=3&amp;nolastread=1#wechat_redirect</a> 歡迎關(guān)注<br><br><br>github:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2Fmenghuan" target="_blank">https://github.com/menghuan</a><br>PHP7/Redis5/Nginx/Linux源碼分析匯總鏈接:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2Fmenghuan%2Flnmp-code-analysis" target="_blank">https://github.com/menghuan/lnmp-code-analysis</a><br><br>最近在寫的一款go cron工具：<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2Fmenghuan%2FgoDistributedCron" target="_blank">https://github.com/menghuan/goDistributedCron</a> 基本完成 后續(xù)會添加微服務(wù)相關(guān)設(shè)計 歡迎star<br><a href="https://links.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2Fmenghuan%2Fgo-distributed-cron-fronted" target="_blank">https://github.com/menghuan/go-distributed-cron-fronted</a> go-cron vue管理后臺 待完善 歡迎star<br><br>友情鏈接<br>歐神的博客 <a href="https://links.jianshu.com/go?to=https%3A%2F%2Fblog.changkun.de%2F" target="_blank">https://blog.changkun.de/</a><br>碼農(nóng)桃花源 <a href="https://links.jianshu.com/go?to=https%3A%2F%2Fqcrao.com%2F" target="_blank">https://qcrao.com/</a><br>曹大的博客 <a href="https://links.jianshu.com/go?to=http%3A%2F%2Fxargin.com%2F" target="_blank">http://xargin.com/</a><br>面向信仰編程 <a href="https://links.jianshu.com/go?to=https%3A%2F%2Fdraveness.me" target="_blank">https://draveness.me</a><br>煎魚 <a href="https://links.jianshu.com/go?to=https%3A%2F%2Feddycjy.com%2Fposts%2F" target="_blank">https://eddycjy.com/posts/</a><br>達神的博客 <a href="https://links.jianshu.com/go?to=http%3A%2F%2Fwww.weisd.in%2F" target="_blank">http://www.weisd.in/</a><br>陳捷的博客 <a href="https://links.jianshu.com/go?to=http%3A%2F%2Fwww.chenjie.info%2F" target="_blank">http://www.chenjie.info/</a><br>夢康的博客 <a href="https://links.jianshu.com/go?to=https%3A%2F%2Fmengkang.net%2F" target="_blank">https://mengkang.net/</a><br>濤哥博客 <a href="https://links.jianshu.com/go?to=http%3A%2F%2Fwww.tiyee.net%2F" target="_blank">http://www.tiyee.net/</a><br>周至博客 <a href="https://links.jianshu.com/go?to=http%3A%2F%2Fwww.sunnysmilez.cn%2F" target="_blank">http://www.sunnysmilez.cn/</a><br>朱小廝博客 <a href="https://links.jianshu.com/go?to=https%3A%2F%2Fblog.csdn.net%2Fu013256816%2Farticle%2Fdetails%2F54743481" target="_blank">https://blog.csdn.net/u013256816/article/details/54743481</a><br>鯉魚的博客:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fwww.iamle.com" target="_blank">https://www.iamle.com</a><br>數(shù)據(jù)庫內(nèi)核月報<a href="https://links.jianshu.com/go?to=http%3A%2F%2Fmysql.taobao.org%2Fmonthly%2F" target="_blank">http://mysql.taobao.org/monthly/</a><br>全棧技術(shù):<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fblog.thankbabe.com%2F" target="_blank">https://blog.thankbabe.com/</a><br>美團技術(shù)博客:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Ftech.meituan.com%2F" target="_blank">https://tech.meituan.com/</a><br>阿里中間件團隊博客:<a href="https://links.jianshu.com/go?to=http%3A%2F%2Fjm.taobao.org%2F" target="_blank">http://jm.taobao.org/</a><br>運維社區(qū):<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fwww.unixhot.com%2F" target="_blank">https://www.unixhot.com/</a><br>cacheCloud:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fcachecloud.github.io%2F" target="_blank">https://cachecloud.github.io/</a><br>go知識圖譜:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fwww.processon.com%2Fview%2Flink%2F5a9ba4c8e4b0a9d22eb3bdf0" target="_blank">https://www.processon.com/view/link/5a9ba4c8e4b0a9d22eb3bdf0</a><br>go語言分析 <a href="https://links.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2Fchangkun%2Fgo-under-the-hood%2Fblob%2Fmaster%2Fbook%2Fzh-cn%2FTOC.md" target="_blank">https://github.com/changkun/go-under-the-hood/blob/master/book/zh-cn/TOC.md</a><br>后端架構(gòu)體系:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2Fxingshaocheng%2Farchitect-awesome" target="_blank">https://github.com/xingshaocheng/architect-awesome</a><br>架構(gòu)師技術(shù)圖譜:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2Ftoutiaoio%2Fawesome-architecture" target="_blank">https://github.com/toutiaoio/awesome-architecture</a><br>互聯(lián)網(wǎng) Java 工程師進階知識完全掃盲:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fgithub.com%2Fdoocs%2Fadvanced-java" target="_blank">https://github.com/doocs/advanced-java</a><br>從Docker到Kubernetes進階:<a href="https://links.jianshu.com/go?to=https%3A%2F%2Fwww.qikqiak.com%2Fk8s-book%2F" target="_blank">https://www.qikqiak.com/k8s-book/</a>

如果你認為自己很努力了 你還可以更努力一點 挺過去，人生就會豁然開朗

我以官方文檔為主線，開始對TensorFlow的學(xué)習。這期間會把我的理解進行持續(xù)的輸出，作為《TensorFlow從0到N》系列。 它不會止于翻譯和筆記，不會停留在語言和工具，而是堅持通過啟發(fā)性的方式，循序漸進的構(gòu)建理解，搭建一個堅實可靠的、連接“零基礎(chǔ)”與“人工智能（AI）/機器學(xué)習（Machine Learning）/深度學(xué)習（Deep Learning）”領(lǐng)域之間的緩坡道。

機器學(xué)習，數(shù)據(jù)挖掘，深度學(xué)習，自然語言處理交流。歡迎大家投稿。

分享深度學(xué)習、機器學(xué)習、計算機視覺、模式識別、資源語言處理、推薦系統(tǒng)等領(lǐng)域的一些技術(shù)

機器學(xué)習與計算機視覺

本專題招募管理員，有意向請簡信私聊，謝謝！ 用來分享機器學(xué)習，深度學(xué)習，神經(jīng)網(wǎng)絡(luò)，計算機視覺等領(lǐng)域的一些技術(shù)。 Machine Learning 學(xué)習資料：http://m.itdecent.cn/p/e0238db24973 相關(guān)參考： 1. [Coursera - Machine Learning by Andrew Ng]：https://www.coursera.org/learn/machine-learning 2. [ Stanford CS231n Course]：http://cs231n.github.io/ 課程整理：http://m.itdecent.cn/p/182baeb82c71 3. [深度學(xué)習與神經(jīng)網(wǎng)絡(luò)(英文原版)]：http://neuralnetworksanddeeplearning.com/ [GitBook同步鏈接]：https://www.gitbook.com/book/tigerneil/neural-networks-and-deep-learning-zh/details 4. [UFLDL教程]：http://deeplearning.stanford.edu/wiki/index.php/UFLDL%E6%95%99%E7%A8%8B （中文） http://ufldl.stanford.edu/wiki/index.php/UFLDL_Tutorial （英文） 5. [Deep Learning - An MIT Press book]：http://www.deeplearningbook.org/ 6. [Neural Network Playground]： http://playground.tensorflow.org/ 7. [A Guide to Deep Learning]： http://m.itdecent.cn/p/6752a8845d01 8. [知乎“機器學(xué)習”專欄]： https://www.zhihu.com/collection/108812637 9. [How do Convolutional Neural Networks work?] http://m.itdecent.cn/p/fe428f0b32c1 …… 希望大家可以相互交流，相互學(xué)習！