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AddWebTrends-2020-11 #4

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10 changes: 5 additions & 5 deletions README.md
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Expand Up @@ -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)
Expand Down Expand Up @@ -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
Expand All @@ -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

Expand Down