TensorFlow.NET Examples contains many practical examples written in C#. If you still don't know how to use .NET for deep learning, getting started from this Repo is your best choice.
Requirements:
-
.NET Core 3.1
-
Visual Studio 2019 (v16.4)
Run specific example in shell:
dotnet TensorFlowNET.Examples.dll -ex "MNIST CNN"
Example runner will download all the required files like training data and model pb files.
- Hello World
- Basic Operations
- Linear Regression
- Logistic Regression
- Nearest Neighbor
- Naive Bayes Classification
- Full Connected Neural Network
- Image Processing
- K-means Clustering
- NN XOR
- Object Detection
- Text Classification
- CNN Text Classification
- MNIST CNN
- MNIST RNN
- MNIST LSTM
- Named Entity Recognition
- Transfer Learning for Image Classification in InceptionV3
TensorFlow.NET is a part of SciSharp STACK