This seems pretty awesome, but I can't get it working with my code. Do you have any plans to release extra documentation, or examples of how to adjust existing models to run on FloydHub?
Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
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Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
#82This seems pretty awesome, but I can't get it working with my code. Do you have any plans to release extra documentation, or examples of how to adjust existing models to run on FloydHub?
Sorry to hear that, we are constantly improving the docs. You can find the latest version here: http://docs.floydhub.com/
If something is not clear, contact us in the communication app on the website. We will be happy to assist you in any way possible.
Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
#83I’m a Data Scientist and I work in a large-ish corp. We have a dedicated engineering team who take care of all of our infrastructure needs - we mostly focus only on data science. I would expect most medium and large enterprises to have the same setup. Why would they use FloydHub?
Smaller companies and startups, or medium sized companies that just start with ml/dl will find it very useful. Currently working in a small startup and our data scientists (just a team of 6) are frequently fighting over the gpus in the office for time and online services atm are overpriced for our small budget.
Agreed, that is the target audience we are going after with FloydHub. If you have some time to chat about your startup, please send me an email naren[AT]floydhub.com. I would love to get your feedback and see what would make Floyd useful for companies like yours.
Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
#84I was one of their earliest beta customers. Despite the initial quirks, the experience has been nothing but magical. It allowed me to go from code to training/model generation in one command, without any of the devops nonsense to do deal with. While digging into deep learning, I honestly felt that the devops stuff was actually more complicated than the math/backprop/neural nets stuff. It felt like a Heroku moment for…
I think partnering with MOOCs is a great idea. I've been taking the Deep Learning Foundations Nanodegree from Udacity and thought it would be awesome if we got some sort of discount to try this out. Course developers have been trying to get us AWS credits for a while now. What would be the best way to contact the guys?
Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
#85I was one of their earliest beta customers. Despite the initial quirks, the experience has been nothing but magical. It allowed me to go from code to training/model generation in one command, without any of the devops nonsense to do deal with. While digging into deep learning, I honestly felt that the devops stuff was actually more complicated than the math/backprop/neural nets stuff. It felt like a Heroku moment for…
I think partnering with MOOCs is a great idea. I've been taking the Deep Learning Foundations Nanodegree from Udacity and thought it would be awesome if we got some sort of discount to try this out. Course developers have been trying to get us AWS credits for a while now. What would be the best way to contact the guys?
Hey! Glad you brought this up. We've gotten quite a few requests from students enrolled in Udacity courses and have been helping get them set up & run their class projects on Floyd.
Here's our instructions for the Self Driving Car Engineer nanodegree program: https://github.com/floydhub/CarND-Term1-Starter-Kit. Happy to do the same for your class as well! How can I reach you? Feel free to to mail us directly: founders@floydhub.com.
We've also reached out to folks at Udacity to see if we can offer any official support for the courses.
Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
#86Earlier quoted context omitted.
I think partnering with MOOCs is a great idea. I've been taking the Deep Learning Foundations Nanodegree from Udacity and thought it would be awesome if we got some sort of discount to try this out. Course developers have been trying to get us AWS credits for a while now. What would be the best way to contact the guys?
Hey! Glad you brought this up. We've gotten quite a few requests from students enrolled in Udacity courses and have been helping get them set up & run their class projects on Floyd. Here's our instructions for the Self Driving Car Engineer nanodegree program: https://github.com/floydhub/CarND-Term1-Starter-Kit . Happy to do the same for your class as well! How can I reach you? Feel free to to mail us directly: founde…
Thanks for the reply! I just sent you guys an email. Will take a look at what you did for the Self Driving Car Nanodegree.
Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
#87Hi 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.
I was able to download a kaggle dataset using kaggle-cli.
Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
#88This seems pretty awesome, but I can't get it working with my code. Do you have any plans to release extra documentation, or examples of how to adjust existing models to run on FloydHub?
Sorry to hear that, we are constantly improving the docs. You can find the latest version here: http://docs.floydhub.com/ If something is not clear, contact us in the communication app on the website. We will be happy to assist you in any way possible.
I was able to get a different model working, and FloydHub is great- I'm really finding it useful. I'm looking forward to see where you take it!
Re: Launch HN: FloydHub (YC W17) – Heroku for Deep Learning
#89Congrats on your launch! Seems like a really slick product.
Have you taken a look at https://cloud.google.com/ml/? I assumed you would have but didn't see anyone mention it in the comments.
Do you see your product as complementary to a service like that? e.g. could you use the Google service as the execution engine for yours? or do you see that as competition?