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.
We talk about the Folding@Home project, where it came from and what kind of problems it will cover and how it works.
We go through how to to create a package to for a cross platform build script. Using the tools autoconf and automake to create Makefile to make and install your c program.
We look into the way SQRL stores keys on disk or paper in QR form. How to read the data and decrypt the different blocks.
We look at an example from ml5js to load images and predict them
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…
We look into the machine learning network viewer Netron.