Creating your custom model for Tensorflow.JS
We look into how to use Java to create an image classification model using TFRecords and train it with python. Then we will read that model in TensorflowJS in order to predict images.
I show you how I test parsing functions in java using file testing; this is where I could add more files for each test case that I want to run. Testing this way makes your workflow quick and easy. Just add a file and then start to solve issues.
We talk about creating a new user and talk about user permissions and create login profile and start script, all needed for bootstraping user login.
I will do some live coding reading a webpage using Jsoup and creating some braille text. This is perhaps a simple project but I wanted to play around with some string creating and braille text.
We look into logrotate on Debian and figure out how timers actually work with a system with cron installed and configured. This was a bit of a gotcha for me, so hopefully, this will help you when you configure logrotate and want to use the timers in Debian to set a correct time.
Keeping track of your disks in a Ceph cluster is important so you could replace them in time before data loss. In this video we look into how to use SMART data to run a machine learning prediction in order predict when a disk fails. SmartMonTools is used locally to fetch the data. The data…
In this video, we look into Ceph erasure coding. This is a feature where you can use more of the available space in your cluster without losing too much redundancy. It’s more complex and gives you the option to have more or less safety.