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All LessonsFree Lessons (4)

Introduction to ML.NET

Getting Started ML.NET Fundamentals Building Our First Machine Learning Model ML.NET Project Structure Quiz Yourself on ML.NET Fundamentals Challenge: Adding Fields to a Machine Learning Model Solution Review: Adding Fields to a Machine Learning Model

Machine Learning Fundamentals

Training a Machine Learning Model Categories and Tasks of Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Quiz Yourself on Machine Learning Fundamentals

Selecting a Problem for Machine Learning

Choosing a Task for Machine Learning Evaluating Model Accuracy Using Built-In Supervised Learning Tasks Using Built-In Unsupervised Learning Tasks Quiz Yourself on Selecting a Problem for Machine Learning Challenge: Improving Model Accuracy Solution Review: Improving Model Accuracy

Built-In Supervised Learning Tasks in ML.NET

Binary Classification Multiclass Classification Regression Recommendation Forecasting Ranking Quiz Yourself on Supervised Learning Challenge: Performing a Multiclass Classification Solution Review: Performing a Multiclass Classification

Built-In Unsupervised Learning Tasks in ML.NET

Anomaly Detection Clustering Quiz Yourself on Unsupervised Learning Challenge: Analyzing Clustered Data Solution Review: Analyzing Clustered Data

Deep Learning and Neural Networks

Deep Learning Fundamentals Using Deep Learning in ML.NET Image Processing Text Processing Quiz Yourself on Deep Learning Challenge: Consuming Sentence Similarity Model Solution Review: Consuming Sentence Similarity Model

Automating Machine Learning Tasks with AutoML

AutoML Overview Building an AutoML Pipeline Configuring an AutoML Experiments Configuring Runner Monitor Quiz Yourself on AutoML Challenge: Configuring a Custom AutoML Monitor Solution Review: Configuring a Custom AutoML Monitor

Saving and Consuming Machine Learning Models

Retraining and Saving an ML.NET Model Working with ONNX Models Working with TensorFlow Models Quiz: Saving and Consuming Machine Learning Models Challenge: Retraining a Machine Learning Model Solution Review: Retraining a Machine Learning Model

Mini Project

Building an Image Analysis Application

Wrapping Up

Project

Implementation of U-Net for Image Segmentation

Appendix

Setting up ML.NET Locally Setting Up ML.NET Locally via Model Builder

Using ML.NET to Build Machine Learning Models/

Building an Image Analysis Application

Building an Image Analysis Application

Now that we've learned all the fundamentals of ML.NET, we're in a position to integrate ML.NET into our own application. The goal of this project is to build a console application capable of telling the user what’s displayed on an image. The user should be able to pass an image file path to the model, and the model should be able to tell whether the image belongs to any of the following categories:

Food
Toy
Appliance

Go to the next page to begin.