Deep Learning in C#: Coin Recognition with a Pre-Trained Model in ML.NET

Arnaldo P. Castaño

Rate me:

5.00/5 (1 vote)

9 Nov 2020CPOL3 min read

8.6K

To end off this series, we will present the alternative of adapting a pre-trained CNN to the coin recognition problem we have been examining all along.

Here we take a look at transfer learning, adjust a predefined CNN, and train our model for the coin recognition problem, using the Model Builder extension.

Views

Daily Counts

This article is part of the series 'Deep Learning in C# ◁ Prev View All

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Arnaldo P. Castaño

Software Developer

Serbia

Computer Scientist and book author living in Belgrade and working for a German IT company. Author of Practical Artificial Intelligence: Machine Learning, Bots, and Agent Solutions Using C# (Apress, 2018) and PrestaShop Recipes (Apress, 2017). Lover of Jazz and cinema Smile | :)

Deep Learning in C#: Coin Recognition with a Pre-Trained Model in ML.NET

Views

License

Comments and Discussions