前端面经300条：背完这些秋招不愁

经验之谈：秋招 = 项目要好 + 基础要牢（牢固 + 牢记，直接背诵就好了） + 深度（一些框架的原理，弄明白）+ 做题（算法题要会写吧，刷题）

themes.zip

解压缩后，替换typora安装路径下的themes文件夹即可。

django-socketio的文档

django-socketio的文档

mac词典处理工具

可以将其他格式的词典处理成mac支持的词典格式。

cifar-10-batches-py.zip

做cs231n时候的作业上使用到的机器学习分类数据集。 国内下载速度巨慢，而且还需要使用linux系统才能运行那个脚本，因此直接贴在CSDN上。 The CIFAR-10 and CIFAR-100 are labeled subsets of the 80 million tiny images dataset. They were collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton. The CIFAR-10 dataset The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images. The dataset is divided into five training batches and one test batch, each with 10000 images. The test batch contains exactly 1000 randomly-selected images from each class. The training batches contain the remaining images in random order, but some training batches may contain more images from one class than another. Between them, the training batches contain exactly 5000 images from each class.