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Build PPTP service using AWS EC2

What can cloud technology do? Speaking of what we need for half a day, today we are playing with the implementation of building PPTP services through Amazon AWS EC2 to scientifically access the internet. I have previously introduced the AIM (Autodesk Infrastructure Modeler). There are many cool AIM case videos on youtube, video tutorials, and so on. I would like to introduce them to you very much, unfortunately, most children's shoes cannot be accesse

AWS S3 API implementation file upload download

Recently, the project needs to use the AWS S3 API to implement file upload and download function, only to find that the internet about. NET implementation of this feature is not many articles, there are a few are also very old version of the use of AWS description, writing and packaging classes, etc. are basically scrapped. Although this, but still very grateful that several articles gave me direction. I'll

AWS-based media Sharing System Architecture

AWS-based media Sharing System Architecture Media sharing is one of the most popular markets on the Internet. Customers have a strong desire to put photos and videos on their social networking websites and share their media content in custom online albums. The increasing popularity of media sharing means that website owners are facing increasing storage and bandwidth needs, accelerating the market commercialization, and providing faster performance th

System Operations on Aws-lab 7-cloudformation

Cloudformation templates: Create a VPC (containing public subnets, private subnets, respectively, in different AZ), creating Nat,bastion server on the public subnet.1. Modify and run the AWS Cloudformation template1.1 Adding an Ami ID to a template1.1.1 Download TemplateHttps://d2lrzjb0vjvpn5.cloudfront.net/sys-ops/v2.4/lab-7-automating/static/Lab-7-Start-CF.template1.1.2 Replace ImageId ("ImageId": "Ami-b5a7ea85"), as follows"ImageId": { "Fn::find

AWS Create a VPC manually

As a result of development requirements, a set of Elb with the same formal environment should be deployed for testing; the intention to start the Creation Wizard was created, and AWS failed and had to be manual;1) Enter vpc options = = = "Your vpc==" to create a vpc=== "fill in the name and CIDR block (it is important that the network is not familiar with the recommendations according to the default fill, of course, this network segment will be large,

AWS host installation (Chinese)

Windows systems of foreign hosts generally support Chinese characters. If you do not have an AWS host, you need to install it on your own. The access speed of AWS hosts in China is also slow. Hope you can hurry up later. starting from the topic, AWS hosts can mount one more hard disk. We only need to mount the system installation disk. the process is as follows:

"Python"--paramiko machines that connect to AWS

On cloud machines using AWS (Amazon), generate keys in the AWS Management panel. Connect to a server using Python's ParamikoImport Paramikok = Paramiko. Rsakey.from_private_key_file ("/home/eoa-dev.pem") C = Paramiko. Sshclient () C.set_missing_host_key_policy (Paramiko. Autoaddpolicy ()) C.connect (hostname = "17.1.1.11", username = "Ec2-user", Pkey = k) Command = "ls/home/" stdin, stdout, St Derr = C.exec

AWS Instance Deployment flask Error Script-timed-out-before-returning-headers-application-py

Source: http://www.aisir.cn/2017/07/15/aws Instance deployment flask Error script-timed-out-before-returning-headers-application-py/[Thu Jul 13 13:21:32.542375 2017] [Core:error] [PID 25744] [Client 127.0.0.1:48852] Script timed out before returning Headers:application.py[thu Jul 13:21:32.618324] [core:error] [pid 25672] [Clien T 127.0.0.1:48754] Script timed out before returning Headers:application.py[thu Jul 13:21:33.517055] [Core:error] [PID 25702

Powershell AWS Automation Management (8)-CloudFront

This section looks at how to use PowerShell to create CloudFront distributions inside AWS. CloudFront is an AWS-provided CDN service that allows you to create a distribution point that points to S3 or Web server, where DNS is automatically resolved to the nearest edge server for optimal access speed.The specific image interface operation can refer tohttp://beanxyz.blog.51cto.com/5570417/1532813Let's see how

PowerShell Automation Management AWS (4)-VPC

The beans continue to see how PowerShell manages the AWS Virtual network VPC.I did not find a quick-start document on the Web, and the related commands came mainly from official API documents and Get-command searches.Http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Route_Tables.html#route-tables-api-cliThe Configuration Wizard for VPC gives the configuration of 4 scenarios by default, and I'll configure it with PowerShell for the first simple

Using AWS SNS and SQS in Python

First, SNS = simple Notification Service,sqs = simple Queue ServiceWhat is the difference between SNS and SQS?(REF:HTTPS://STACKOVERFLOW.COM/QUESTIONS/13681213/WHAT-IS-THE-DIFFERENCE-BETWEEN-AMAZON-SNS-AND-AMAZON-SQS)SNS is a distributed publish-subscribe system, and once publisher publishes it, subscriber can receive it immediately .The SNS Subscriber (end point) can be mail, SMS, or even SQS, typically used in cases where the number of subscriber is unknownSQS is a distributed queue system, an

AWS dynamodb Data Export to S3

This section describes how to export data from one or more dynamodb tables to S3 buckets. Before you perform the export, you need to create S3 buckets in advance.NoteIf you haven't used AWS Data Pipeline before, you'll need to create two IAM roles before executing the process below. For more information, please visit creating IAM Roles for AWS Data Pipeline.export data from Dynamodb to S3 Log in to the

Connection failure resolution for MySQL on AWS

Label:Recently deployed a set of Web projects on AWS based on the Spring MVC 4.0 framework. The problem is that the local development connection to MySQL MongoDB is not a problem, only deployed to AWS (after a separate installation of the Web server) program is not connected to the MySQL server. The solution is as follows: 1. Set the JDBC connection as follows: jdbc:mysql://whatever_publichost_your_db_has.r

Lstm combing, understanding, and Keras realization (i)

right: Actually, the right is a left-hand image on the time series of the expansion, the last moment output is the input of this moment. It is important to note that, in fact, all neurons on the right are the same neuron, the left, which share the same weights, but accept different inputs at each moment, and then output to the next moment as input. This is the information stored in the past.Understanding the meaning of "loops" is the purpose of this chapter, and the formulas and details are des

Install TensorFlow & Keras & OpenCV Guide to the pits under Windows!

Installing Anaconda3 A key step:conda install pip The following to install a variety of packages you need, generally no more error.pip install tensorflow-gpu ==1.5.0rc1pip install -U keras If you need to install Theano, you need to install its dependency package, which isconda install mingw libpythonpip install -U theano Install OpenCV3 (Windows environment):pip install -U opencv-contrib-python Install TensorFlow

Keras Develop a neural network

About Keras:Keras is a high-level neural network API, written in Python and capable of running on TENSORFLOW,CNTK or Theano.Use the command to install:Pip Install KerasSteps to implement deep learning in Keras Load the data. Define the model. Compile the model. Fit the model. Evaluate the model. Use the dense class to describe a fully connected layer. We can specify the number of neurons in a layer as the first parameter,

SSD Network Architecture Special Lyaers--keras version

"""Some Special Pupropse layers for SSD."""ImportKeras.backend as K fromKeras.engine.topologyImportInputspec fromKeras.engine.topologyImportLayerImportNumPy as NPImportTensorFlow as TFclassNormalize (Layer):"""normalization layer as described in parsenet paper. # Arguments Scale:default feature scale. # Input shape 4D tensor with shape: ' (samples, channels, rows, cols) ' If dim_ordering= ' th ' or 4D tens or with shape: ' (samples, rows, cols, Channels) ' If dim_ordering= ' TF '. # Output

2.keras implementation Mnist Handwritten numeral classification problem first attempt (Python) __python

After downloading the mnist dataset from my last article, the next step is to see how Keras classifies it. Reference blog: http://blog.csdn.net/vs412237401/article/details/51983440 The time to copy the code found in this blog is not working here, the preliminary judgment is because the Windows and Linux system path differences, handling a bit of a problem, so modified a little First look at the original: Defload_mnist (path,kind= ' train '): "" "

Solution to error when using Keras Plot_model function under Mac __ function

Environment: MAC Using the Keras drawing requires the use of the Plot_model function, the correct usage is as follows: From keras.utils import Plot_model plot_model (model,to_file= ' model.png ') But it's an error. Keras importerror:failed to import Pydot. You are must install Pydot and Graphviz for ' pydotprint ' to work. The error says Pydot and Graphviz are not installed, and then run to use PIP to ins

"Keras" Semantic segmentation of remote sensing images based on segnet and u-net

from: "Keras" semantic segmentation of remote sensing images based on segnet and U-net Two months to participate in a competition, do is the remote sensing HD image to do semantic segmentation, the name of the "Eye of the sky." At the end of this two-week data mining class, project we selected is also a semantic segmentation of remote sensing images, so just the previous period of time to do the results of the reorganization and strengthen a bit, so

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