Deep Learning in C#: Understanding Neural Network Architecture

Arnaldo P. Castaño

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4 Nov 2020CPOL4 min read

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In this article we will go over the basics of supervised machine learning and what the training and verification phases consist of.

Here we will introduce the basics of machine learning (ML) for readers with no knowledge of AI, and we will describe the training and verification steps in supervised ML models.

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

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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#: Understanding Neural Network Architecture

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