mdfarragher / DLR

Deep Learning with C# and CNTK

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Deep Learning with C# and CNTK

Deep Learning with C# and CNTK

This repository contains all course assignments of my Deep Learning with C# and CNTK course and will get you up to speed with Microsoft's amazing Cognitive Toolkit machine learning library.

By working through the code examples, you will learn how to design, train, and evaluate complex neural networks and machine learning models with simple C# code. I'll provide you with all the code, libraries, and data sets you need to get started.

Please note that this repository only contains code examples with no additional support.

If you prefer a full-featured e-learning experience with live coaching, please check out my online course here:

https://www.machinelearningadvantage.com/deeplearning-with-csharp-cntk

Table of contents

Regression: Predict taxi fares in New York

Deep neural networks: Predict house prices in California

Binary classification: Predict heart disease in Ohio

Multiclass classification: Recognize handwriting

Training neural networks: Detect SMS spam messages

Convolutional neural networks: Build the Silicon Valley hotdog detector

Prebuilt CNNs: Recognize cats and dogs

1D-convolutional neural networks: Rate IMDB movie reviews

Recurrent neural networks: Improve the IMDB movie review analyzer

Artistic style transfer: Create AI-generated art

Generative adversarial networks: Create AI-generated wildlife

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Deep Learning with C# and CNTK


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