It’s always fascinating to see how the neural networks pull off amazing results, but even for them, it's not easy learning sequential/time-series data. The time component adds additional information which makes time series problems more difficult to handle compared to many other prediction tasks.
Web applications are developed with a number of components that involve JavaScript, JQuery, AJAX and a lot more. All may not behave the same way in different browsers available and hence it is important for us to test the application in different browsers which is both resource and time-consuming.
I have recently got a requirement to verify two images and see if both the images have the same person in it. This looks very interesting and there are few open source libraries doing this with decent accuracy. In order to get better accuracy I thought it can be dealt with CNN and started to think about implementing Siamese CNN to solve this problem. Then I saw this Face API from Azure which is doing exactly this task with better accuracy and it comes in the free tier as well.
For the past few weeks, we were facing issue with the digital ocean machine hitting more than 90 % CPU limit for 5 mins continuously (We have set up monit to trigger a notification to our Telegram channel for it) and it is really annoying to see these many messages in telegram,
Most of the applications are wielded either through web or desktop. There exists frameworks that supports the development of desktop applications say Swing, .NET, Cocoa, Electron, etc. All the frameworks are eminent in the features they own. Here we are going to choose Electron for developing a sample application.
With the AWS CodePipeline, setting up a CI/CD pipeline gets less time-consuming. You can set the entire pipeline with services provided by AWS, or just plug-in-play with some other related frameworks. In this blog, we are going to see in detail about each stage in building the AWS CodePipeline
Hello guys, this article is all about understanding basic animation in flutter and a detailed look with working example.
Rails 6 provided us with so many necessary features that made life easier for every Ruby on Rails developer. One of its many features is the Action text.
Sensu Go is the latest version of Sensu, which is a tool to monitor your cloud infrastructure at a production scale. Sensu Go is portable, easier and faster to deploy which enables us to get deep visibility of our entire infrastructure. Not just infrastructure, Sensu can be used to monitor applications, servers, Databases, even in on-premises infrastructure.
If you look up the internet for an authorization gem for your Rails application, you will find these two most commonly used gems. They are Pundit and CanCanCan. This may leave you in a dilemma on which one to choose. Well, no worries you are in the right place.
Ever wondered if there was any simple way to restrict some basic features and functionality to users who meet specific criteria or something like that? Well, no worries you can make use of the CanCanCan gem to make the user experience of your rails application very flexible. Using CanCanCan we can define roles and permissions to the user by which we can limit the experience of certain type of users and also gives us a layer of security.
