乐趣区

关于javascript:C语言标准库

学渣就是学渣,看了两天就保持不上来了,博客也没有更新几天。想了想本人还是对 linux 感兴趣,来学 bash 吧。而后就开学了,从老师那边得悉应该要做深度学习,就又开始了学习 python。其实 python 还是保持下来了,因为本人花钱买了课,淘宝的盗版课程,看了好多,然而最初没有整顿放到博客园下面来。而且本地写的是在 txt 上的,放过来排版是针对麻烦。最初就不了了之。前面也陆陆续续写过一些博客,其实实现没实现很明确,如果是上的课,那必定是实现了,因为要期末嘛,如果是自学的内容,那都是大功告成了。总结一下:
《CSAPP》【40%】看了很多,然而博客没写,前面写在纸质笔记上。《python 根底》【60%】看了很多,写在 txt 上,前面的对于 python 连贯数据库,爬虫,后端啥的都没有看
《西瓜书》【40%?】遗记了,大略也就是这几篇博客写的学到了,其余的要么没看,要么看了也没看懂。不过不重要了,当前反正也不搞机器学习了。《逆向工程》书其实也没有看完,然而还是实现了一次逆向工程的作业了。尽管是对着 52pojie 上抄的。
《图论》致力学过,已经学的还行,当初曾经忘光了。研一上学期就这样差不多草草的技术了,也没学到个啥。研一下开始,就开始学习深度学习,钻研了一下 Faster R-CNN, 看了看吴恩达的入门视频笔记,开了一门我最感兴趣的 linux 内核课程。第二次“重学”python。
《linux 操作系统内核构造》这既是一门课,也是我给本人挖的一个坑,填了好久好久,到当初还没有填完。两头停停动动,真的很慢。然而当前有机会还会补!
【Faster R-CNN 系列】这个是对着 tf 版本的源码浏览当前学习的,也是这个时候,发现研一学的除了根底语法其它啥也不会,什么包模块啊,装璜器啊,lambda 表达式啊,都不会。这个系列算是我对深度学习中最重要的一部分了吧。
这也是我努力学习 TensorFlow 和 Keras 的期间,google 的开发人员,真的让我一言难尽,我常常感觉本人是一个运维,次要指标是把 google 大佬们开源的代码 run 起来。最终我倒在了 TensorFlow2.0 刚进去的时候,在 TensorFlow1.3 刚更新,TensorFlow 刚进去有了 eager essentials 的时候,我慢慢的投入了 pytorch 的怀抱。最近在逼乎上说 tf2 挺好用,倒退的真的很好的时候,我情绪是简单的,我从一个动摇的 TensorFlow 使用者,到一个 TensorFlow 的黑粉,逢人就劝入门 torch,再到当初发现 torch 也不是那么完满,Keras 也有他优良的中央(比方 Keras 的 summary 函数,能够显示参数量)。感觉其实每个框架都大差不差,都是为了同一个目标的不同实现过程。选一款社区沉闷的,用起来之后,再理解一下另一款,加几个轮子应该就能够用的棘手了吧。写到这里,不禁的感叹,是 MongDB, 还是 redis, 还是 Tairs。抉择 Flink 还是 Kafka。都是理解,应用,比照,而后在本人想着补充的一个过程吧。【下次做个 TensorFlow 和 pytorch 的比照补充版!】
其实,前面有抄 java 根底系列的笔记,然而就是缮写《java 核心技术 卷一》这个局部放在 github 上。算是 java 的入门了吧。
找工作后面大部分都是基础知识的学习,到了研二下,疫情左右,就开始功利的学习了。SSM,vue,OS,计网,数据库,都是学习的重点,这个局部,也是因为过后工夫紧迫,简直没有工夫写入博客园,也感觉没有必要,值得一提的是,这个时间段,我当了 linux 内核课的助教,算是第二次持续学习内核了,又写了几篇相干博客。也是凭借这些货色,能让我找个还算能够的工作吧。
实际上,我感觉本人的内核学的真的不好,然而又真的不晓得该怎么去学,学来干什么。机缘巧合,认为本人要成为一名客户端开发了,所以买了一本 android 的书,抄完。算是完结了吧。我不太像再用更多的工夫去钻研他了。Flutter 有缘再会。
将来
哎,写到这里,感觉本人挖的坑好多,不会的也好多,须要学习的也好多,真的很好受。瞻望一下 2021 年要写哪些博客吧,立个 Flag, 努力完成:
netty 系列博客:之前本人决定学,学到当初曾经丢了,明年首先捡起来,实现了再说 kafka 系列博客:包含 kafka 入门,kafka 和流计算之类的内容。仅次于 netty,亟待学习的一个方向
设计模式:课都买了,必定要看完。顺便出在博客园上吧。redis:面试瞎学了一些,当初想看看源码学习一下,尽管我也不晓得想学什么。
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