Microsoft ML.NET Framework Integration with TensorFlow for Computer Vision Classification
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Explore the integration of Microsoft's MLNet Framework with TensorFlow in this 40-minute video tutorial. Learn how to develop a computer vision classification application using an ImageNet model in C#. Dive into the practical implementation of machine learning techniques, focusing on the seamless combination of MLNet and TensorFlow frameworks. Follow along with the step-by-step demonstration, gaining insights into building robust AI solutions for image classification tasks. Access the accompanying code on GitHub to further enhance your understanding and apply the concepts to your own projects.
Syllabus
Microsoft Ai: MLNet Framework in c# Integration with Tensorflow #machinelearning #datascience
Taught by
The Machine Learning Engineer
Related Courses
Beginning Game Programming with C#University of Colorado System via Coursera Programming with C#
Microsoft via edX DEV206.1x: Introduction to XAML and Application Development
Microsoft via edX Introduction to Game Development
Michigan State University via Coursera Designing Advanced Applications using XAML
Microsoft via edX