• TensorFlow.NET
• • • How to use

TensorFlow.NET

TensorFlow.NET provides .NET Standard binding for TensorFlow. It's the full complete binding in CSharp language for TensorFlow API. It allows .NET developers to develop, train and deploy Machine Learning models in .NET standard which is running on cross-platform.

TensorFlow.NET is a member project of SciSharp STACK.

How to use

Install TensorFlow.NET through NuGet.

PM> Install-Package TensorFlow.NET

If you are using Linux or Mac OS, please download the pre-compiled dll here and place it in the working folder. This is only need for Linux and Mac OS, and already packed into NuGet for Windows.

Import tensorflow.net.

using Tensorflow;

Add two constants.

// Create a Constant op
var a = tf.constant(4.0f);
var b = tf.constant(5.0f);
var c = tf.add(a, b);

using (var sess = tf.Session())
{
    var o = sess.run(c);
}

Feed placeholder.

// Create a placeholder op
var a = tf.placeholder(tf.float32);
var b = tf.placeholder(tf.float32);
var c = tf.add(a, b);

using(var sess = tf.Session())
{
    var feed_dict = new Dictionary<Tensor, object>();
    feed_dict.Add(a, 3.0f);
    feed_dict.Add(b, 2.0f);

    var o = sess.run(c, feed_dict);
}

Read the docs & book The Definitive Guide to Tensorflow.NET.

More examples:

• Hello World
• Basic Operations
• Image Recognition
• Linear Regression
• Text Classification
• Naive Bayes Classification
• Named Entity Recognition

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