Autoencoders are a type of artificial neural network that can learn how to efficiently encode and compress the data and then learn to closely reconstruct the original input from the compressed representation.
Autoencoders are a type of artificial neural network that can learn how to efficiently encode and compress the data and then learn to closely reconstruct the original input from the compressed representation.
As the title mentions, I will show you how to create a website and serve the static contents using AWS S3 in a much simpler way. For this, the prerequisites are,
With many of us working from home due to recent COVID-19 pandemic, there is increase in usage of video conferencing apps like Microsoft Teams and Zoom.
First, there are two types of data types primitive data types and reference data types. Primitive data types are (boolean, byte, char, short, int, long, float and double) and reference data types are (Array and Object)
This blog is a basic walkthrough to setup ASP .NET Core basic Role-based Authentication using Identity and Authorization, with Postgres as database. Here I am going to use the Razor pages approach rather than MVC. To get going you need to have ASP.NET Core, Visual Studio and Postgres DB. If you have all of the above you are ready to go.
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
