Advanced Machine Learning .NET Applications

Offered By: LinkedIn Learning

Tags

Machine Learning Courses TensorFlow Courses .NET Courses MLOps Courses Image Recognition Courses Data Preparation Courses Model Evaluation Courses Data Cleansing Courses Model Training Courses ONNX Courses

Course Description

Overview

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Learn advanced features of .NET to take your machine learning applications to the next level.

Syllabus

Introduction

Advanced machine learning .NET
What you should know

1. Preparing Data for Machine Learning

Collecting data correctly
Utilize SME
Data types and structure
Business logic
Outliers
Biases
Data cleansing tools
Demo: Checking data

2. How to Generate an ONNX Model

What is ONNX?
Set up the .NET project for ONNX
Create a model
Generate an ONNX model
Using Netron
Demo: Generate an ONNX model in Visual Studio

3. How to Utilize TensorFlow Framework

Image recognition vs. categorization
What is TensorFlow?
Set up the .NET project for TensorFlow
Train the model
Evaluate the model
Demo: Train a TensorFlow model in Visual Studio

4. Model Maintenance

What is MLOps?
Retraining the model
Versioning
Source control

5. Common Pitfalls

"Machine Learning Model" not in the context menu
Is 32-bit supported on Windows?
Ensure the app is targeting x64 or x86
New project with a different build target
Challenge: Training and comparing ML.NET models
Solution: Training and comparing ML.NET models

Conclusion

Next steps

Taught by

Sam Nasr

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