From c2dd90dc21b26d989ef78187f0bfb63644cae9a1 Mon Sep 17 00:00:00 2001
From: Hortison <160366376+jameshorton2337@users.noreply.github.com>
Date: Wed, 13 Mar 2024 17:05:12 -0500
Subject: [PATCH] Update README.md

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 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
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 | **Chat** | **Windows build status** | **Linux build status** |
 |-------------|-------------|---------------|
-| [![Join the chat at https://gitter.im/Microsoft/CNTK](https://badges.gitter.im/Microsoft/CNTK.svg)](https://gitter.im/Microsoft/CNTK?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) | [![Build Status](https://aiinfra.visualstudio.com/_apis/public/build/definitions/a95b3960-90bb-440b-bd18-d3ec5d1cf8c3/126/badge)](https://cntk.ai/nightly-windows.html) | [![Build Status](https://aiinfra.visualstudio.com/_apis/public/build/definitions/a95b3960-90bb-440b-bd18-d3ec5d1cf8c3/127/badge)](https://cntk.ai/nightly-linux.html) |
+| [![Join the chat at https://gitter.im/Microsoft/CNTK](https://badges.gitter.im/Microsoft/CNTK.svg)](https://gitter.im/Microsoft/CNTK?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) | [![Build Status](https://aiinfra.visualstudio.com/_apis/public/build/definitions/a95b3960-90bb-440b-bd18-d3ec5d1cf8c3/129/badge)](https://cntk.ai/nightly-windows.html) | [![Build Status](https://aiinfra.visualstudio.com/_apis/public/build/definitions/a95b3960-90bb-440b-bd18-d3ec5d1cf8c3/127/badge)](https://cntk.ai/nightly-linux.html) |
 
 The Microsoft Cognitive Toolkit (https://cntk.ai) is a unified deep learning toolkit that describes neural networks as a series of computational steps via a directed graph. In this directed graph, leaf nodes represent input values or network parameters, while other nodes represent matrix operations upon their inputs. CNTK allows users to easily realize and combine popular model types such as feed-forward DNNs, convolutional nets (CNNs), and recurrent networks (RNNs/LSTMs). It implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation and parallelization across multiple GPUs and servers. CNTK has been available under an open-source license since April 2015. It is our hope that the community will take advantage of CNTK to share ideas more quickly through the exchange of open source working code.