CODE-AI - Page 3 of 4 - The place where you can build AI from scratch

Neural Networks C# Course

Neural Network making Predictions – Part 1

ByvancoApril 12, 2020

Hello guys and welcome to the first part of the “Neural Networks making Predictions” series. Today we will talk about the Forward Propagation algorithm. In other words, this is the part of the network that makes the predictions. ML.NET Tutorial Series Neural

MacOS

Dispatch Semaphore examples in Swift

ByvancoApril 6, 2020

Hey guys,Welcome to the Dispatch Semaphore examples in Swift post In this post I will show you how to use Dispatch Semaphores in Swift. We will be looking at three different examples. First we will create three operations. Each operation will count from 1 to a given number,

MacOS

Create “Hello World” MacOS App

ByvancoFebruary 29, 2020

Hey guys,In this post I will show you how to create the famous “Hello World” MacOS App Since I am coming from a C# .NET background, this task was a very interesting one. So what are you going to learn here: Get familiar with XCode (IDE for MacOS) Learn basic

C# CookBook

Execute Command Prompt commands from C#

ByvancoNovember 10, 2019

We are partnering up with TechInDeep to bring you more C# Tips and Tricks. Before continuing with this post make sure to check out some other articles as well: Download Instagram images with C# How to Implement Q-Learning Algorithm in C# How to Execute ML.NET Model in .NET

K-Means

Article Classification with K-Means in C#

ByvancoMay 2, 2019

In this post, I am going to demonstrate how to create Article Classification with K-Means and C#. This project can be seen as a text classification problem. Text Classification is one of the wildly used natural language processing (NLP) applications in different business

K-Means

Image Segmentation with K-Means in C#

ByvancoApril 16, 2019

As part of the K-Means tutorial series, we will take a look at the Image Segmentation problem. What is Image Segmentation? Image Segmentation is the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and/or change the

K-Means

Anomaly Detection on CPU waveform using K-Means

ByvancoApril 10, 2019

More on Anomaly Detection at Tech In Deep A lot of applications require the ability to detect whether a new observation belongs to the same distribution as the existing observations. The application we are building now detects the opposite. Anomaly Detection is a filed

K-Means

Image Search

ByvancoMarch 26, 2019

Image Search Source Code Link: Today we have a fun little project. We are going to do Reverse Image Search. Workflow for the Image Search: Choose an image Initialize number and color, of segments for that image Run KMeans to segment that image into regions Find the most

K-Means

K-Means Elbow Method

ByvancoMarch 19, 2019

How to implement K-Means Elbow Method. Source Code Link: Elbow Method Project Files K-Means Elbow Method is a heuristic used in determining the number of clusters in a data set. A lot of the tutorial/articles I am writing on this blog are related to K-Means clustering. One

K-Means

Shape Recognition/Grouping using K-Means

ByvancoMarch 17, 2019

Shape Recognition/Grouping using K-Means Source Code Link: Shape Recognition using Histograms Hey guys, So this time we are going to try and recognize an object based on a very basic histogram analysis. Programming Language: C# What Third Party Libraries are we going to

How to Train ML.NET Model using the API

How to transform data in ML.NET using the API

How to load data in ML.NET Model