Launch HN: FloydHub (YC W17) – Heroku for Deep Learning • Hacker News Board

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#21

Post by robotnoises » Thu, Feb 16, 2017, 4:58 PM UTC

saip wrote: post #9

koolba wrote: post #8

Skimming through the site this looks very polished for a startup offering.

Thanks! We've been iterating on it for a while. My sister is a UX designer and helped a ton. I still think there's room for improvement, but it's great to hear a positive comment about it!

Who did the artwork for your landing page? Looks great.

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#22

Post by saip » Thu, Feb 16, 2017, 5:06 PM UTC

whodunser wrote: post #13

I have been using your docker container for 6 months or so now, thanks for putting it together :) The jupyter jobs look neat, but I assume they are charged continuous time? Would be cool if somehow that only ended up charged for compute time, but I understand that would be difficult. Are these instances guaranteed to be in a given region, for if I wanted to route more complex debug output / intermediate files to S3?

Thanks - glad you found it useful! The attention and feedback that I got from building dl-docker has been terrific. Definitely one of the reasons we started working on this seriously :)

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#23

Post by arikr » Thu, Feb 16, 2017, 5:08 PM UTC

narenst wrote: post #5

Hi! I'm Naren, the other co-founder of FloydHub. I'll be happy to answer any questions and really appreciate any feedback you can provide. Thanks!

What tech did you use to build the homepage?

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#24

Post by saip » Thu, Feb 16, 2017, 5:11 PM UTC

whodunser wrote: post #13

I have been using your docker container for 6 months or so now, thanks for putting it together :) The jupyter jobs look neat, but I assume they are charged continuous time? Would be cool if somehow that only ended up charged for compute time, but I understand that would be difficult. Are these instances guaranteed to be in a given region, for if I wanted to route more complex debug output / intermediate files to S3?

@Jupyter NB, we charge continuously right now. Charging for compute time only is possible, but an interesting engineering challenge (sandboxing, scheduling, etc.) - We’ll take this as a feature request! :) We’re all in the Oregon data center (us-west-2) now.

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#25

Post by kevinyun » Thu, Feb 16, 2017, 5:16 PM UTC

Thanks Sai, this looks great. I found myself dreading the clunky workflow with AWS GPUs, even using CLI, so this is nice to see a Heroku-like product that's a bit easier to work with.

Also, awesome 100 hours offering -- Looking forward to using FloydHub for deep learning!

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#26

Post by moflome » Thu, Feb 16, 2017, 5:21 PM UTC

Hi Naren, really glad to see this launch, your "Deploy your Trained Models" that feature is awesome... what about external dataset access? I would like to access the Google YouTube ML dataset [0], how could that be done within FloydHub without uploading? Also, perhaps related, have you thought of teaming up with Kaggle [1]?

[0] https://research.googleblog.com/2016/09/announcing-youtube-8... [1] https://www.kaggle.com/c/youtube8m

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#27

Post by saip » Thu, Feb 16, 2017, 5:24 PM UTC

transcranial wrote: post #15

Looks really amazing! Reproducibility of models and experiments is huge. It should be almost a requirement if one is going to publish results claiming SotA, etc. Seems like you could become the GitHub for deep learning in addition to the Heroku for deep learning.

Thanks, that's an awesome comment! Agreed. IMHO, end-to-end reproducibility is important from multiple angles - provenance for research, enabling collaboration, driving down costs by eliminating redundant runs of the same jobs, etc.

We were initially calling ourselves Heroku + Github for DL, but realized that was too confusing, haha.

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#28

Post by saip » Thu, Feb 16, 2017, 5:29 PM UTC

cshg wrote: post #12

narenst wrote: post #5

Hi! I'm Naren, the other co-founder of FloydHub. I'll be happy to answer any questions and really appreciate any feedback you can provide. Thanks!

The landing-page responsiveness on mobile breaks the layout at several points. Otherwise good content on there so far!

Thanks for the catch. My web development skills are definitely sub-par. Fixed the landing page now, to some extent. Hopefully it's not rendering it unreadable.

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#29

Post by michwill » Thu, Feb 16, 2017, 5:30 PM UTC

Congrats with the launch!

Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning

#30

Post by saip » Thu, Feb 16, 2017, 5:38 PM UTC

arikr wrote: post #23

narenst wrote: post #5

Hi! I'm Naren, the other co-founder of FloydHub. I'll be happy to answer any questions and really appreciate any feedback you can provide. Thanks!

What tech did you use to build the homepage?

React + Redux for frontend. react-bootstrap + Bootswatch Paper theme for the UI. This was my first foray into anything web related, so it's good to see positive feedback.