Hello, everyone, in one of the previous videos, we learned what -is the DL workbench and how
it helps you working with the deep learning models.
We also learnt how to run DL Workbench locally when you can experiment with accelerators
that are available on your machine.
However, if you don't have an option for running the DL workbench locally, or you want to play
around with the numerous hardware accelerators, there is an ideal option for you to start
experimenting with deep learning models on the DL workbench in the intel devcloud for
the edge.
. So in order to start, we need to go to the Intel DevCloud websiteAnd here, we can see
that Dev Cloud provides us with multiple hardware configurations, allows us to get started in
minutes and we can prototype our deep learning application there.
So we need to go to the Dev Cloud for the edge website and here we need to either register
or sign in using existing account to register in the Dev cloud.
You are providing your personal information and then agreeing with the terms and conditions.
Once you have done that, within a certain time you will get the email with the email
verification.
After verifying the email, you need to activate your Intel dev cloud for the edge account
by providing some final information.
After that, you're officially enrolled in the Intel dev cloud for the edge and you will
get the corresponding confirmation email.
So let's use the link from that email.
And after agreeing with the terms and conditions, we can see that that we can start working
with a dev cloud for the edge.
And in the advanced section on the page, we can find a DL workbench button.
It is also available in the ribbon at the top of the page.
So once you click the button and launch the server, the DL Workbench Jupyter notebook
is opened.
So to keep it short in order to start the workbench in the devcloud, you need to open
the Jupyter notebook and execute certain cells
in it in order to start the DL workbench application.
So you can always find the Jupyter notebook yourself by using the following path.
So reference samples, IoT Dev cloud and then the
DL workbench.
So once we have opened our DL workbench Jupyter notebook, we need to select the cell and then
press the Run button at the top of the page in order to execute that cell.
So then we can see the button with the “start application”, we click it and then within
a minute the DL workbench will be started.
So you need to note that your work in the Dev cloud for the edge is limited to four
hours block.
After this period, the DL workbench will be stopped and
in order
to proceed and to continue working with application, you
need to go back to the Jupyter Notebook and start the DL workbench
again.
Of course, all your data
is kept safe.
Once the Dl Workbench has started, you can start
experimenting with numerous hardware configurations
such as Intel Core Intel Atom or Intel Xeon
with accelerators such as neural compute stick 2.
If you have any questions, If you want to provide some special feedback, please don't
hesitate and ask us on the official intel forum.
Thank you very much for watching.
See you.
Bye bye.
Jerry Makare Producer | IDZ Studios
Intel Corp. 503-933-5144