From 98c1993e8feae77a1bf15bf9d77f9f2da566a6ee Mon Sep 17 00:00:00 2001 From: Bit Date: Fri, 13 Nov 2020 12:46:09 -0800 Subject: [PATCH] Added Web Trends --- README.md | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 39bc9e0..536842b 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,7 @@ In this workshop we'll be exploring the topic of Computer Vision, through deep d # Getting Started -This computer vision workshop is based on the work detecting complex policies in the following [real life code story](https://www.microsoft.com/developerblog/2017/07/31/using-object-detection-complex-image-classification-scenarios/) +This computer vision workshop is based on the work detecting complex policies in the following [real life code story](https://www.microsoft.com/developerblog/2017/07/31/using-object-detection-complex-image-classification-scenarios/?WT.mc_id=aiml-0000-abornst) There are six parts to the workshop: - 1) [Introduction](https://github.com/aribornstein/cvworkshop/blob/master/%231%20Computer%20Vision%20Workshop%20Intro.ipynb) @@ -42,15 +42,15 @@ Click on the "Computer Vision Workshop Intro" notebook and confirm that everthin ## Option 2 Run On the cloud with the [Azure DSVM](https://medium.com/@aribornstein/5-steps-to-more-interactive-deep-learning-79126f089696) -The [Data Science Virtual Machine (DSVM)](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/overview?WT.mc_id=cvworkshop-github-abornst) is a customized VM image on Microsoft’s Azure cloud built specifically for doing data science. It has many popular data science and other tools pre-installed and pre-configured to jump-start building intelligent applications for advanced analytics. While this workshop will run on any cloud it is optimized and tested on the Azure DSVM. +The [Data Science Virtual Machine (DSVM)](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/overview?WT.mc_id=aiml-0000-abornst) is a customized VM image on Microsoft’s Azure cloud built specifically for doing data science. It has many popular data science and other tools pre-installed and pre-configured to jump-start building intelligent applications for advanced analytics. While this workshop will run on any cloud it is optimized and tested on the Azure DSVM. ### Prerequisite’s -Azure Subscription you can sign up for a trial [here](https://azure.microsoft.com/en-us/offers/ms-azr-0044p/?WT.mc_id=medium-blog-abornst) +Azure Subscription you can sign up for a trial [here](https://azure.microsoft.com/offers/ms-azr-0044p/?WT.mc_id=aiml-0000-abornst) ### Step 1 -Create Linux a DSVM for deployment steps [click here](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro?WT.mc_id=cvworkshop-github-abornst) +Create Linux a DSVM for deployment steps [click here](https://docs.microsoft.com/azure/machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro?WT.mc_id=aiml-0000-abornst) ![](https://cdn-images-1.medium.com/max/1200/0*jqpjzD7wCqzGk2dR.gif) ### Step 2 @@ -59,7 +59,7 @@ Open the Port 8888 on the DSVM ![](https://cdn-images-1.medium.com/max/1200/0*B_wWKNZL9UFiZh9K.gif) -For detailed steps on opening a port [click here](https://docs.microsoft.com/en-us/azure/virtual-machines/windows/nsg-quickstart-portal?WT.mc_id=cvworkshop-github-abornst) +For detailed steps on opening a port [click here](https://docs.microsoft.com/azure/virtual-machines/windows/nsg-quickstart-portal?WT.mc_id=aiml-0000-abornst) ### Step 3