learning express error handle code: const express = require('express'); const app = express(); const fs = require('fs'); app.get('/', function (req, res, next){ fs.readFile('file', function (err, data) { if(err){ next(err) }else{ res.send(data); } })…

learning express error handle code: const express = require('express'); const app = express(); app.get('/', function (req, res){ throw new Error("BROKEN"); }); app.listen(); result:…

learning express view engine function const express = require('express'); const app = express(); app.set('views','./views'); app.set('view engine', 'pug'); app.get('/', function(req, res){ res.render('index',{title: 'hey', message: 'hello panzidong u…

learning express.Router() code: const express = require('express'); const app = express(); var router = express.Router(); var cookieParser = require('cookie-parser'); app.use(cookieParser()); router.use(function (req, res, next) { //if (!req.headers[…

learning  express  middleware var express = require('express'); var app = express(); var myLogger = function (req, res, next) { log++; console.log('var log =', log); next(); }; app.use(myLogger); app.get('/', function(req, res){ res.send("hello world…

learning express route function const express = require('express'); const app = express(); app.get('/', function (req, res) { res.send('root'); }); app.get('/about', function (req, res) { res.send('about'); }); app.get('/random.txt',function (req, re…

router-level middleware works in the same way as application-level middleware, except it is bound to an instance of  express.Router(). code: var express = require('express'); var app = express(); var router = express.Router(); // a middleware functio…

To skip the rest of the middleware functions from a router middleware stack, call next('route') to pass control to the next route. const express = require('express'); const app = express(); app.get('/user/:id', function (req, res, next) { ') next('ro…

Route handlers enable you to define multiple routes for a path. The example below defines two routes for GET requests to the /user/:id path. The second route will not cause any problems, but it will never get called because the first route ends the r…

code: use application middleware var express = require('express'); var app = express(); app.use(function (req, res, next) { console.log('Time', Date.now()); next() }); app.use('/user/:id', function (req, res, next) { console.log('Request Type:', req.…

install express-generator C:\Users\admin\WebstormProjects\learning-express-step2>npm install express-generator -g C:\Users\admin\AppData\Roaming\npm\express -> C:\Users\admin\AppData\Roaming\npm\node_modules\express-generator\bin\express-cli.js + ex…

first : create new project then install express package : npm install express --savenpm WARN saveError ENOENT: no such file or directory, open 'C:\Users\admin\WebstormProjects\IPSO-demo\package.json'npm WARN enoent ENOENT: no such file or directory,…

when develop expree meet some errors, we show how to solve Error: No default engine was specified and no extension was provided. How to solve: app.set('view engine','ejs'); Error: Cannot find module 'ejs' How to solve: C:\Users\admin\WebstormProjects…

use static resourceL: const express = require('express'); const app = express(); app.use(express.static('public')); app.listen(, () => console.log('Example app listening on port 3000!')); result :…

https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…

Step 1: Basic Python Skills install Anacondaincluding numpy, scikit-learn, and matplotlib Step 2: Foundational Machine Learning Skills Unofficial Andrew Ng course notes Tom Mitchell Machine Learning Lectures Step 3: Scientific Python Packages Overvie…

在学习react的时候,经常用create-react-app来创建web应用,然而写到后面总有连自己服务器和数据库的需求,create-react-app创建的是一个webpack-dev-server,主要用来进行webpack的编译和热加载(HMR),所以想要把这两个东西融合,就是既能监听修改实现热加载,然后用的又是自己的express服务器.网上有两种解决方案:1.设置代理,同时启动express和webpack-dev-server,然后将webpack-dev-server代理到过来…

I joined Analytics Vidhya as an intern last summer. I had no clue what was in store for me. I had been following the blog for some time and liked the community, but did not know what to expect as an intern. The initial few days were good – all the in…

基于learning armbian step(4) 的总结,我们来实践一下,接下来的会把整个构建的log都贴出来: vmuser@vmuser-virtual-machine:~/qemu-arm$ sudo apt-get install qemu-user-static [sudo] password for vmuser: Reading package lists... Done Building dependency tree Reading state information...…

A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python) MACHINE LEARNING PYTHON R   SHARE      MANISH SARASWAT, APRIL 12, 2016 / 52     Introduction Tree based learning algorithms are considered to be one of the best and mostly used s…

TensorFlow笔记-07-神经网络优化-学习率,滑动平均 学习率 学习率 learning_rate: 表示了每次参数更新的幅度大小.学习率过大,会导致待优化的参数在最小值附近波动,不收敛:学习率过小,会导致待优化的参数收敛缓慢 在训练过程中,参数的更新向着损失函数梯度下降的方向 参数的更新公式为: wn+1 = wn - learning_rate▽ 假设损失函数 loss = (w + 1)2.梯度是损失函数 loss 的导数为 ▽ = 2w + 2 .如参数初值为5,学习率为 0.2…

Step 0: Initialize constants and parameters Step 1: Load data Step 2: Implement softmaxCost Implementation Tip: Preventing overflows - in softmax regression, you will have to compute the hypothesis When the products are large, the exponential functio…

Pytorch学习之源码理解:pytorch/examples/mnists from __future__ import print_function import argparse import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim from torchvision import datasets, transforms from torch.optim.…

Python的argparse模块的使用 最近看到一份Pytorch代码有以下内容: # Training settings parser = argparse.ArgumentParser(description='PyTorch MNIST Example') parser.add_argument('--batch-size', type=int, default=64, metavar='N', help='input batch size for training (default:…

记录内容来自<Tensorflow实战Google一书>及MOOC人工智能实践 http://www.icourse163.org/learn/PKU-1002536002?tid=1002700003 --梯度下降算法主要用于优化单个参数的取值, 反向传播算法给出了一个高效的方式在所有参数上使用梯度下降算法. 从而神经网络模型在训练数据的孙师函数尽可能小. --反向传播算法是训练神经网络的核心算法, 它可以跟据定义好的损失函数优化神经网络中参数的取值, 从而使神经网络模型在训练数据集上的损失…

参考:http://blog.sina.com.cn/s/blog_620be62e0100iqyb.html (BIM名词和术语(四)- IFC/STEP/EXPRESS) IFC标准使用形式化的数据规范语言EXPRESS 来描述建筑产品数据.EXPRESS语言定义在STEP国际标准中.下面,我们简单介绍STEP标准和EXPRESS语言. STEP - Standard for teh Exchange of Product Model Data - 产品数据交换标准(STEP标准) 国际标准…

Building your Deep Neural Network: Step by Step Welcome to your third programming exercise of the deep learning specialization. You will implement all the building blocks of a neural network and use these building blocks in the next assignment to bui…

Installing Express Let's start building our new Express application by installing Express. Type the command that installs the latest version for the 4.9 branch. npm install express@4.9 The '@' symbol to tell the npm which express version you want to…

Building your Deep Neural Network: Step by Step 你将使用下面函数来构建一个深层神经网络来实现图像分类. 使用像relu这的非线性单元来改进你的模型 构建一个多隐藏层的神经网络(有超过一个隐藏层) 符号说明: 1 - Packages(导入的包) numpy:进行科学计算的包 matplotlib :绘图包 dnn_utils:提供一些必要功能 testCases 提供一些测试用例来评估函数的正确性 np.random.seed(1) 设置随机数种子…

前言 论文“Reducing the Dimensionality of Data with Neural Networks”是深度学习鼻祖hinton于2006年发表于<SCIENCE >的论文,也是这篇论文揭开了深度学习的序幕. 笔记 摘要:高维数据可以通过一个多层神经网络把它编码成一个低维数据,从而重建这个高维数据,其中这个神经网络的中间层神经元数是较少的,可把这个神经网络叫做自动编码网络或自编码器(autoencoder).梯度下降法可用来微调这个自动编码器的权值,但是只有在初始化权值…