Advent of Code 2022 – Day 7
I'm trying to solve all the Advent of Code puzzles in this video series.
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 build TFRecord file using java and talking about how to easily label your images for object detection.
We look into a Travis CI configuration file in order to test Android projects.
I’m trying to solve all the Advent of Code puzzles in this video series.
In this video series, I try to challenge myself with the Advent of Code trials. Each solution will be published to Github, and I hope you will learn something from my coding mistakes and perhaps send some code my way on how you have done these challenges. I know by reading code, so this is…
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.