I'm a bit confused by the localhost address in the Jupyter notebook. Is it connected to remote AWS instance and data is marshaled to and from remote GPU? How does it work?
Very informative. Mine is Windows OS. Understand that putty terminal wont work. So i am working through git and followed your video. But @ ssh host was not successfully executed. Please suggest and give me detailed steps to execute @ git phase to connect jupyter in cloud if possible. Thanks in advance.
Thanks for the good tutorial. One comment: Free basic account is good enough if you're new here to try things out. Although the limit increase request with the free basic account takes up to 2 days to be approved, but it is not much of a big deal for beginners in aws.
Well explained. Does the free one work better compared to the running model over a personal machine, which not equipped with GPU??. And what're your views regarding using Google Colab?. Google Colab claims to provide free GPU.
I have a laptop with a 940M, and frankly speaking the training time for the MNIST it required (using Tensorflow GPU) was pretty much equal to the Google Colab with GPU!
Hey Great video. Can u make a video explaining how to configure a GPU in Microsoft Azure. Its very confusing to choose which resource to select as they have so many with each having their own jargon. Plus it will be most useful if u also include a way/script which closes the VM automatically once we are done so that we are not charged exorbitantly.
The instructor is so talented. He only says what to be said. Great work. I wish he could get viewership he deserves. Thank you for the tutorial!
Thanks for the compliments Kyoosik!
Would've been nice if you spoke about the cost a little bit for usage
By far the best tutorial vid i've seen! Amazing work here
Thanks homie!
Nice finally i have seen some action, not just theory
Great demo
Hi. How did you open the Jupyter Notebook in your local machine?
Percfect pronunciation! Thank you.
I'm a bit confused by the localhost address in the Jupyter notebook. Is it connected to remote AWS instance and data is marshaled to and from remote GPU? How does it work?
Thanks 👍
Thank you for this striaght-forward tutorial, would this also work on an M1 mac running a pytorch model?
Your videos are so helpful. Thank you
Excellent!! Thank you!
Very informative.
Mine is Windows OS. Understand that putty terminal wont work.
So i am working through git and followed your video. But @ ssh host was not successfully executed. Please suggest and give me detailed steps to execute @ git phase to connect jupyter in cloud if possible.
Thanks in advance.
Best video so far I've seen for getting on the cloud. thanks
Thanks, this was really clear!
Thanks for the good tutorial. One comment: Free basic account is good enough if you're new here to try things out. Although the limit increase request with the free basic account takes up to 2 days to be approved, but it is not much of a big deal for beginners in aws.
True. I remember when I was making the video, had to cut to 2 days later because I didn't realize the wait time. :P
Please do a video on AWS Elastic Inference.
One of the very few guides for how to use tensorflow on a gpu cloud. Thanks mate!
My God. This is the best explanation on how to do this
i have a dataset more than 20 gb how can i upload it in aws instance
I have the same question here. It was a very basic video.
@@AmitYadav-ig8yt Did you ever figure out how to do it?
Thank's for help!
Thank you.
i need a gpu machine more than 4gb gpu memory which aws service will be suitable for me
Well explained.
Does the free one work better compared to the running model over a personal machine, which not equipped with GPU??.
And what're your views regarding using Google Colab?.
Google Colab claims to provide free GPU.
I have a laptop with a 940M, and frankly speaking the training time for the MNIST it required (using Tensorflow GPU) was pretty much equal to the Google Colab with GPU!
So it just claims but services are not alike as GPU.
No it definitely is a GPU but maybe not that powerful. At least as powerful as a 940M.
Hi, thanks for the video. Can you share how to open the .pem file?
Why on earth somebody would open .pem file. It's just a key for your instance and its encrypted.
You did not tell How to Load the dataset into AWS and then Train Deep learning model.
I having 40gb of training data. How to train using AWS? Do i need to upload files to the VM through FTP? or any other best way available?
Do you found any solution? I have the same problem
@@magloiretouh2090 I started using Google cloud
Heyy very nyccc video!!!!!! How much it costs (for using p2 xlarge)????????????
Pawan Snj Glad you liked it. With a developers account, you pay $30 per month. They will give you a p2.xlarge instance if requested
@@CodeEmporium you are dumper than i thought
Chayido ingottum pradeeshikunu
Hey Great video.
Can u make a video explaining how to configure a GPU in Microsoft Azure. Its very confusing to choose which resource to select as they have so many with each having their own jargon. Plus it will be most useful if u also include a way/script which closes the VM automatically once we are done so that we are not charged exorbitantly.
So, to sum it up: AWS free tier is pointless..