added deployment screenshots

Author: fibbonnaci

README.md

@@ -150,7 +150,7 @@ Select Next.
 
 If you are on the device summary page- Please do not make changes to the password.
 
-Instead, if you are presented with the below screen, type the device password as Aws2017! . 
+Note: Instead, if you are presented with the below screen, type the device password as Aws2017! . 
 
 ![device settings](https://user-images.githubusercontent.com/11222214/38657201-c44385fe-3dd3-11e8-8497-7add710be21b.JPG)
 
@@ -167,25 +167,45 @@ Congratulations! You have successfully registered and configured your DeepLens d
 
 The console should open on the Projects screen, select Create new project on the top right (if you don’t see the project list view, click on the hamburger menu on the left and select Projects)
 
+![create project](https://user-images.githubusercontent.com/11222214/38657905-82207e44-3dd7-11e8-83ef-52049e229e33.JPG)
+
 Choose, Use a **project template** as the Project type, and select **Face Detection** from the project templates list.
 
+![project template](https://user-images.githubusercontent.com/11222214/38657922-958edd7c-3dd7-11e8-830b-ec129d9363e6.JPG)
+
 Scroll down the screen and select **Next**
 
+![project template-next](https://user-images.githubusercontent.com/11222214/38657930-a3f6c1a4-3dd7-11e8-96a9-3f3cebb1712e.JPG)
+
 Change the Project name as Face-detection-your-name
 
+![face detection your name](https://user-images.githubusercontent.com/11222214/38657948-b8cc049a-3dd7-11e8-948f-1d32948408d1.JPG)
+
 Scroll down the screen and select **Create**
 
+
+![click create](https://user-images.githubusercontent.com/11222214/38657969-d573db7c-3dd7-11e8-9f45-fc6d1eb25a4b.JPG)
+
+
 ### Step 2- Deploy to device
 In this step, you will deploy the Face detection project to your AWS DeepLens device.
 
 Select the project you just created from the list by choosing the radio button
 
+
 Select Deploy to device.
 
+
+![choose project-edited-just picture](https://user-images.githubusercontent.com/11222214/38657988-eb9d98b6-3dd7-11e8-8c94-7273fcfa6e1b.jpg)
+
 On the Target device screen, choose your device from the list, and select **Review.**
 
+![target device](https://user-images.githubusercontent.com/11222214/38658011-088f81d2-3dd8-11e8-972a-9342b7b3e291.JPG)
+
 Select Deploy.
 
+![review deploy](https://user-images.githubusercontent.com/11222214/38658032-223db2e8-3dd8-11e8-9bdf-04779cd0e0e6.JPG)
+
 On the AWS DeepLens console, you can track the progress of the deployment. It can take a few minutes to transfer a large model file to the device. Once the project is downloaded, you will see a success message displayed and the banner color will change from blue to green.
 
 To view the output, open a terminal (on the desktop, choose the top left button and search for terminal) and enter the following command: