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

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

#32

Post by saip »

kevinyun wrote: post #25

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!

Sounds good! Give it a spin and let us know what you think. If you want a reference - here's a guide we wrote to run Neural Style Transfer (http://docs.floydhub.com/guides/style_transfer/)!

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

#33

Post by narenst »

moflome wrote: post #26

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…

Hi, Thanks a lot! We are always adding to our public datasets (with appropriate licences). So we would be very happy to set it up for you on Floyd. Agreed that uploading large datasets is not quick. Instead we recommend you download them directly in to Floyd. See: http://docs.floydhub.com/home/managing_output/ for an example.

Re: Kaggle, we haven’t had a chance yet but that sounds like a great idea.

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

#36

Post by saip »

reubensutton wrote: post #17

This looks really cool, I'm slightly confused why the type of CPU intensive workloads only has a single core though?

We picked this as a starting point to assess demands, e.g. CPU vs. GPU, before scaling out. We'll be adding more tiers very soon. What kind of instance would suit your needs?

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

#37

Post by saip »

robotnoises wrote: post #21
saip wrote: post #9

Earlier quoted context omitted.

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.

Nothing fancy - bought some cheap stock art and my sister, who's a UX designer, modified and brushed them up :)

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

#39

Post by mindcrime »

So I guess we're competitors in a sense, but congrats nonetheless! We hope to launch at least a private beta of NeuralObjects like "Real Soon Now"™.

It'll be interesting to see where we decide to go down different paths, or how we take different approaches to things.

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

#40

Post by bfortuner »

Nice! There is a real need for this in the market right now--especially among students, who struggle to setup working environments. I really benefited from your early Github project aimed to make setting up DL machines easier. Curious how defensible your product will be in the event Heroku/AWS come in with a competitor?
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