Neuronale Netze mit C# programmieren

Programming Neural Networks with C#

• Building and training neural networks
• Understanding and applying important machine learning algorithms
• Working with ML.NET and Infer.NET
• Introduction to the open-source framework TensorFlow.NET
• Creating a Lex chatbot for .NET
• All examples are implementable with Visual Studio and C#
• Your exclusive benefit: E-book included with the purchase of the printed book

Do you want to develop neural networks and machine learning algorithms with C#? Then this book provides a clear introduction to the fundamentals and shows you how to practically apply neural networks and machine learning algorithms in your own projects. With the help of examples, you will create and train your first neural network for predictive maintenance of a production machine.

In the practical section, you will learn how to use TensorFlow models in ML.NET or directly utilize Infer.NET. Additionally, you will use predictive and sentiment analysis to familiarize yourself with machine learning algorithms. All projects presented in the book are programmed in C# and are available for download. Basic knowledge of C# is required to work with the book. All projects can be implemented without significant computing resources.

Contents

Artificial Intelligence: Fundamentals, concepts, and methods of machine learning, building and training neural networks, machine simulation with multilayer perceptron (MLP), backpropagation, recurrent neural networks, convolutional neural networks, machine learning as a service, predictive analytics, object detection, sentiment analysis.

Daniel Basler works as a lead developer and software architect. His focus areas include cross-platform apps, Android, JavaScript, and Microsoft technologies. He develops software for shelf and area storage systems as well as plant visualization, and increasingly applies machine learning methods in this context.