We create a moving 3d image from pictures using a neural network. This new machine-learning algorithm uses mannequin videos to create pictures for the network to train on and create a depth map to rotate pictures in 3d.

We are in our new linux environment and create coreutils, python, ninja and meson. Talking about their usages and the importance of the utils in the core of linux.

We will create an image from scratch in docker and add that to a docker registry so we can reuse that image when we create new docker instances, controlling the whole flow. Working with docker and registry First of we install the docker client, server and registry on our debian machine. apt install docker docker.io…

We are in our new linux environment and create gettext and OpenSSL, talking about internationallization and website security.

We upgrade Debian using a simple guide to go from Jessie to buster and looking at the different upgrade steps required to guide you through the process to get your Debian upgraded. Upgrade from Debian Jessie to Buster First of we ensure that the current installation is as upgraded as possible and that all the…

We are in our new linux environment and create automake and autoconf used to generate configuration scripts for building more packages in your system.

We use Bubblewrap to install a progressive web app on android. Bubblewrap will create a signed Android APK from the progressive web app manifest and install it on your phone or upload it to Google play store.

We are in our new Linux environment and create BASH the Bourne Again SHell that we will use for our command-line environment and grep to find text using regular expressions.

In this video we will convert Pytorch model to Tensorflow using (Open Neural Network Exchange) ONNX. ONNX is a standard format supported by a community of partners such as Microsoft, Amazon and IBM. PyTorch is mainly maintained by Facebook and Tensorflow is built in collaboration with Google.

We use an easy method to retrain a pre-trained model for object classification. Transfer learning is an easy and quick method to retrain a model for good classification of objects.