Microsoft AI: ML.NET Framework in C# - Transfer Learning for Image Classification
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Learn how to train a custom deep learning model using transfer learning, a pretrained TensorFlow model, and the ML.NET Image Classification API to classify images of concrete surfaces as cracked or uncracked. This 33-minute video tutorial guides you through the process of implementing transfer learning techniques in C# using the Microsoft ML.NET framework. Explore practical applications in machine learning and data science as you develop skills to classify concrete surface images. Access the accompanying code on GitHub to follow along and enhance your understanding of transfer learning in the context of image classification.
Syllabus
Microsoft Ai: MLNet Framework en c# How to Transfer Learning #machinelearning #datascience
Taught by
The Machine Learning Engineer
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent