Object detection Part 4 – Training in the cloud [Tensorflow]

We talk about the requirements for home work and what experiances we have gained working from home for a couple of years.

We talk about how to use Rust to write webassembly code and build a small game of life example.

We talk about the struggles I had with running inferences in Java using a Keras model in tensorflow. This is the train.py used in this example. import tensorflow as tf #import tensorflowjs as tfjs import os from datetime import datetime from tensorflow.keras.models import Sequential, Model from tensorflow.keras.layers import Conv2D, MaxPooling2D, BatchNormalization, Layer from tensorflow.keras.layers import…

Mastering Kubernetes: Building a Cluster from Scratch Step-by-Step Setup jumpbox environment We start with installing some packages required for the setup process. wget and curl to fetch packages, vim to change configuration files, openssl for all the certificates we are required to create. Last but not least the git command to download the repository with…

We look at Redis, what it is, what we can use it for and how to run different commands against a Redis instance.

We look into creating a Samba share on Debian. Then we connect to it from Windows 11 so we can work on our project in Windows and transfer data over Samba and run it in Linux.