Update links

Author: sgugger

docs/index.md

@@ -20,16 +20,16 @@ Here are some great choices of platforms. Click the link for more information on
 
 These are the easiest to use; they've got all the software, data, and lessons preinstalled for you.
 
-- [Paperspace Gradient](/start/gradient); (instant approval, no installation required, $0.59 an hour, $10 free credit)
-- [Salamander](/start/salamander); (instant approval, no installation required, $0.36 an hour, $1 free credit)
-- [SageMaker](/start/sagemaker); (requires some installation, and wait for approval, $1.26 an hour)
+- [Paperspace Gradient](/start_gradient.html); (instant approval, no installation required, $0.59 an hour, $10 free credit)
+- [Salamander](/start_salamander.html); (instant approval, no installation required, $0.36 an hour, $1 free credit)
+- [SageMaker](/start_sagemaker.html); (requires some installation, and wait for approval, $1.26 an hour)
 
 #### Some installation required
 
 If you're comfortable at a command line, these options are fairly easy to get started with, and may be more flexible in the long term than the options above.
 
-- [Google Compute Platform](/start/gcp) ($0.53 an hour, $300 free credit)
-- [Amazon Web Services EC2](/start/dlami) ($0.9 an hour)
+- [Google Compute Platform](/start_gcp.html) ($0.53 an hour, $300 free credit)
+- [Amazon Web Services EC2](/start_dlami.html) ($0.9 an hour)
 
 **For those starting out, we highly recommend a Jupyter Notebooks platform (Option 1)**
 

docs/start_aws.md

@@ -47,7 +47,7 @@ While you wait, get on the third step.
 
 ## Step 3: Create an ssh key and upload it to AWS
 
-For this step, you'll need a terminal. This requires an extra installation on Windows which is all described in this [separate tutorial](/terminal_tutorial).
+For this step, you'll need a terminal. This requires an extra installation on Windows which is all described in this [separate tutorial](/terminal_tutorial.html).
 
 Once in your terminal, type keygen then press return three times. This will create a directory named .ssh/ with two files in it, 'id_rsa' and 'id_rsa.pub'. The first one is your private key and you should keep it safe, the second one is your public key, that you will transmit to people you want to securely communicate with (in our case AWS).
 
@@ -148,15 +148,15 @@ Click on the *course-v3* folder, and your screen should look like this:
 
 ![nb tuto](/images/jupyter.png)
 
-Go back to the [first page](index) to see how to use this jupyter notebook and run the jupyter notebook tutorial. Come back here once you're finished and *don't forget to stop your instance* with the next step.
+Go back to the [first page](index.html) to see how to use this jupyter notebook and run the jupyter notebook tutorial. Come back here once you're finished and *don't forget to stop your instance* with the next step.
 
 ## Step 7: Stop your instance when you are done
 
 When you finish working you must go back to your [AWS console](https://us-west-2.console.aws.amazon.com/ec2) and stop your instance manually to avoid getting extra charges. A good practice is setting a reminder for yourself (when you close your computer or log off) so you never forget to do it! 
 
 ![stop](/images/aws/stop.png)
 
-To see how to open it again, update the course or the fastai library, go to the [Returning to work page](update_aws).
+To see how to open it again, update the course or the fastai library, go to the [Returning to work page](update_aws.html).
 
 If you no longer want to use that instance again, you can just terminate it. This means you will never be able to access the information in it, so be careful. To terminate an instance just choose terminate instead of stop.
 

docs/start_gcp.md

@@ -17,15 +17,13 @@ A `n1-highmem-8` preemtible instance in Google which is what we suggest is $0.1p
 
 Cloud computing allows users access to virtual CPU or GPU resources on an hourly rate, depending on the hardware configuration. Find more information in the [Google Cloud Platform documentation](https://cloud.google.com/compute/). In case you don't have a GCP account yet, you can create one [here](https://cloud.google.com/), which comes with $300 worth of usage credits for free. 
 
->  **Potential roadblock**: Even though GCP provides a $300 initial credit, you must enable billing to use it. For a new bank account it will take several days for the activation. 
-
-![verify bank](/images/gcp/bank_account.png)
+>  **Potential roadblock**: Even though GCP provides a $300 initial credit, you must enable [billing](https://console.cloud.google.com/billing/) to use it. You can put a credit card or a bank account but the latter will take several days for the activation. 
 
 The project on which you are going to run the image needs to be linked with your billing account. For this navigate to the [billing dashboard](https://console.cloud.google.com/billing/projects), click the '**...**' menu and choose '**change billing account**'.
 
 ## Step 2: Install Google CLI
 
-To create then be able to connect to your instance, you'll need to install Google Cloud's command line interface (CLI) software from Google. For Windows user, we recommend that you use the [Ubuntu terminal](/terminal_tutorial) and follow the same instructions as Ubuntu users (remember you paste with shift + right click in the terminal). 
+To create then be able to connect to your instance, you'll need to install Google Cloud's command line interface (CLI) software from Google. For Windows user, we recommend that you use the [Ubuntu terminal](/terminal_tutorial.html) and follow the same instructions as Ubuntu users (remember you paste with shift + right click in the terminal). 
 
 To install on Linux or Windows (in Ubuntu terminal), follow those four steps:
 ``` bash
@@ -128,15 +126,15 @@ Next from your [jupyter notebook](http://localhost:8080/tree), click on 'course-
 
 ![nb tuto](/images/jupyter.png)
 
-Go back to the [first page](index) to see how to use this jupyter notebook and run the jupyter notebook tutorial. Come back here once you're finished and *don't forget to stop your instance* with the next step.
+Go back to the [first page](index.html) to see how to use this jupyter notebook and run the jupyter notebook tutorial. Come back here once you're finished and *don't forget to stop your instance* with the next step.
 
 ## Step 5: Stop an instance
 
 **You will be charged if you don't stop** the instance while it's 'idle' (e.g. not training a network). To stop an instance out of Google Cloud's online interface go [here](https://console.cloud.google.com/compute/instances), click the '...' icon to the right of the instance and choose 'Stop' or click the stop button at the top of the screen.
 
 ![gcp-stop-instance](/images/gcp/stop.png)
 
-To see how to open it again, update the course or the fastai library, go to the [Returning to work page](update_gcp).
+To see how to open it again, update the course or the fastai library, go to the [Returning to work page](update_gcp.html).
 
 ## References
 

docs/start_gradient.md

@@ -53,7 +53,7 @@ Click on the *course-v3* folder, and your screen should look like this:
 
 ![nb tuto](/images/jupyter.png)
 
-Go back to the [first page](index) to see how to use this jupyter notebook and run the jupyter notebook tutorial. Come back here once you're finished and *don't forget to stop your instance* with the next step.
+Go back to the [first page](index.html) to see how to use this jupyter notebook and run the jupyter notebook tutorial. Come back here once you're finished and *don't forget to stop your instance* with the next step.
 
 ### Step 3: Stopping your Notebook
 Once you're finished, under Action, just click stop. This will end the billing session.
@@ -62,7 +62,7 @@ Once you're finished, under Action, just click stop. This will end the billing s
 
  **NOTE: you *will* be charged for the time that your notebook is running. You must stop the notebook to stop incurring charges**
 
-To see how to open it again, update the course or the fastai library, go to the [Returning to work page](update_gradient).
+To see how to open it again, update the course or the fastai library, go to the [Returning to work page](update_gradient.html).
 
 ## Managing Data
 Fast.ai data files (dogscats) can be found in the 'datasets' folder. Files in this directory are hosted by Paperspace and are read-only. See [Public Datasets](https://support.paperspace.com/hc/en-us/articles/360003092514-Public-Datasets) for more info.

docs/start_sagemaker.md

@@ -113,15 +113,15 @@ The instance we suggest, p2.xlarge, is $1.26 an hour. The hourly rate is depende
 
     ![nb tuto](/images/jupyter.png)
 
-1. Go back to the [first page](index) to see how to use this jupyter notebook and run the jupyter notebook tutorial. Come back here once you're finished and *don't forget to stop your instance* with the next step.
+1. Go back to the [first page](index.html) to see how to use this jupyter notebook and run the jupyter notebook tutorial. Come back here once you're finished and *don't forget to stop your instance* with the next step.
 
 ### Shutting down your instance
 
 - When you're done, close the notebook tab, and **remember to click stop!** If you don't, you'll keep getting charged until you click the *stop* button.
 
     ![stop](/images/sagemaker/23.png)
 
-  To see how to open it again, update the course or the fastai library, go to the [Returning to work page](update_sagemaker).
+  To see how to open it again, update the course or the fastai library, go to the [Returning to work page](update_sagemaker.html).
 
 ## More help
 

docs/start_salamander.md

@@ -40,15 +40,15 @@ Click 'Jupyter Notebook' to access the course materials. After Jupyter Notebook
 
 ![nb tuto](/images/salamander/final.png)
 
-See [here](index#jupyter-notebook) for instructions on running the Jupyter Notebook tutorial. Return to this guide once you're finished and _don't forget to stop your server_.
+See [here](index.html) for instructions on running the Jupyter Notebook tutorial. Return to this guide once you're finished and _don't forget to stop your server_.
 
 ## Step 4: Stop your server
 
 When you're all done, **don't forget to shut down your server**, so you don't get charged for the time it's running in the background. It's not enough to just close your browser or turn off your own computer. Go back to [salamander](https://salamander.ai/) and click the 'Stop Server' button next to your server.
 
 ![](/images/salamander/stop.png)
 
-For more details, & updating the course / fastai library see "[Returning to work](update_salamander)".
+For more details, & updating the course / fastai library see "[Returning to work](update_salamander.html)".
 
 ## Advanced users: Connect via terminal