diff --git a/README.md b/README.md index 44a193c..57dcd1e 100644 --- a/README.md +++ b/README.md @@ -44,7 +44,7 @@ The sample provides you an example of how you can use Machine Learning and AI in The evaluate method from CNTK returns a list of floats (0 - 9) predicting the confidence for each of these digits. The highest confidence digit is then displayed in the app. -This sample also introduces Tensor, [Tensor](https://blogs.msdn.microsoft.com/dotnet/2017/11/15/introducing-tensor-for-machine-learning-and-ai-libraries) is an exchange type for homogenous multi-dimensional data for 1 to N dimensions. The motivation behind introducing Tensor is to make it easy for Machine Learning library vendors like CNTK, Tensorflow, Caffe, Scikit-Learn to port their libraries over to .NET with minimal dependencies in place.  Tensor is designed to provide the following characteristics. +This sample also introduces Tensor, [Tensor](https://blogs.msdn.microsoft.com/dotnet/2017/11/15/introducing-tensor-for-multi-dimensional-machine-learning-and-ai-data/) is an exchange type for homogenous multi-dimensional data for 1 to N dimensions. The motivation behind introducing Tensor is to make it easy for Machine Learning library vendors like CNTK, Tensorflow, Caffe, Scikit-Learn to port their libraries over to .NET with minimal dependencies in place.  Tensor is designed to provide the following characteristics. To learn more about [Tensor follow our blog post](https://blogs.msdn.microsoft.com/dotnet/2017/11/15/introducing-tensor-for-multi-dimensional-machine-learning-and-ai-data/) and [GitHub repo](https://github.com/dotnet/corefxlab/tree/master/src/System.Numerics.Tensors).