Some time ago, when Facebook announced a switch to Meta, many of us didn’t really know what…
Before we talk about unpack AI and my first project for unpackAI101, let’s first look at what it takes to write a blog.
Importance of Automation
Nowadays we keep on hearing about blockchain and that it’s an evolving and rapidly spreading…
A couple of years ago I was involved in a project, as a project manager, at a…
As the final project of my deep learning bootcamp with unpackAI, I wanted to choose a…
The objective of the Painting Classification Model is to recognize the concept of the painting based on a…
The objective of this Wine Color Recognition project is to create a simple machine learning model using fastai platform to…
Fastai is a deep learning library built on PyTorch, that operates based on transfer learning…
While going through the UnpackAI Deep Learning boot camp, I have decided to create a classifier of faces as my main…
A quick guide to use Kaggle datasets inside Google Colab
To learn about a tensor, we are going to first go through a definition of what it is, the benefits of a tensor for parallel processing, and finally some other points on the rules of linear algebra which relate to what is called broadcasting. We will go through this…
Supervised Learning is the process of training a machine to be able to create a mapping function that can take input variables (x’s) and map them onto output variables (y). In the case of image classification, this is done by showing the algorithm many labeled…
In an essay published in 1962, an IBM researcher called Arthur Samuel proposed a way to have…
In the Ai training Process, there is system that can automatically modify itself to improve its performance which is known as ‘Stochastic Gradient Descent (SGD)’. The word ‘stochastic’ means a system or a process that is linked with a random probability…
