Lobe – Deep Learning Made Simple • Hacker News Board

Re: Lobe – Deep Learning Made Simple

#31

Post by mbeissinger » Wed, May 02, 2018, 5:59 PM UTC

eraserj wrote: post #16

mbeissinger wrote: post #2

Hey everyone! One of the cofounders of Lobe here - let us know if you have any questions.

Any plans for Human Action Recognition?

We plan to support when we get time series data and video upload implemented.

Re: Lobe – Deep Learning Made Simple

#32

Post by Yadi » Wed, May 02, 2018, 6:13 PM UTC

mbeissinger wrote: post #2

Hey everyone! One of the cofounders of Lobe here - let us know if you have any questions.

Congrats on the launch mbeissinger, this is pretty cool and useful product!

Re: Lobe – Deep Learning Made Simple

#33

Post by mbeissinger » Wed, May 02, 2018, 6:17 PM UTC

Taurus80 wrote: post #29

Looks really impressive! Acumos plan to do something similar? https://marketplace.acumos.org/#/home

Thanks! Acumos has a similar vision of making it easy to build, share, and deploy AI. We are also heavily focused on the iteration and feedback loop time when developing AI applications, and importantly on helping users understand what is going on with the model. That way you can know the limits of the system in production, or know how/where to improve the data and help reduce bias.

Re: Lobe – Deep Learning Made Simple

#34

Post by eyvindn » Wed, May 02, 2018, 6:54 PM UTC

mbeissinger wrote: post #2

Hey everyone! One of the cofounders of Lobe here - let us know if you have any questions.

Hi, are you hiring?

Re: Lobe – Deep Learning Made Simple

#35

Post by jd20 » Wed, May 02, 2018, 6:57 PM UTC

Very cool, any plans to bring it to desktop as well? Seems like this could be a very useful tool for people getting into deep learning, but may not necessarily be targeting mobile. (From the landing page, it seems mobile-only.)

Re: Lobe – Deep Learning Made Simple

#36

Post by pixelHD » Wed, May 02, 2018, 6:58 PM UTC

mbeissinger wrote: post #26

pixelHD wrote: post #22

I have a couple of questions - Do you have a team implementing most of the new state-of-the-art model architectures (given how fast new ones keep getting published)? If so, I'm assuming you keep associating some types of model architectures to the type of data being input? I'm just curious how you'd pick a particular architecture. On the other hand, AutoML comes to mind, but IMO, the biggest hurdle of AutoML, and its…

Thanks! One of the benefits of Lobe is that users who build models from scratch can publish and share to use in other documents, like a community model zoo. We do this for the current architectures internally, but the goal is for the community to help keep up with the firehose state-of-the-art in ML. Something really interesting we have discussed for a future feature is being able to train a model using the data of w…

Oh gotcha! Didn't consider that you'd allow users to write their own models too.

Coming to community model zoo, would it be free access to any model, and pay for the training and disk usage (floydhub like)? Or you'd go the quantopian route?

Re: Lobe – Deep Learning Made Simple

#37

Post by mbeissinger » Wed, May 02, 2018, 6:59 PM UTC

jd20 wrote: post #35

Very cool, any plans to bring it to desktop as well? Seems like this could be a very useful tool for people getting into deep learning, but may not necessarily be targeting mobile. (From the landing page, it seems mobile-only.)

Yes definitely, we support desktop currently with the Tensorflow SavedModel download if you need the model locally, or using the REST API for an application with online connectivity.

Re: Lobe – Deep Learning Made Simple

#38

Post by mbeissinger » Wed, May 02, 2018, 6:59 PM UTC

jd20 wrote: post #35

Very cool, any plans to bring it to desktop as well? Seems like this could be a very useful tool for people getting into deep learning, but may not necessarily be targeting mobile. (From the landing page, it seems mobile-only.)

We are also exploring exporting to other formats to run in different environments locally, or even code generation.

Re: Lobe – Deep Learning Made Simple

#39

Post by mbeissinger » Wed, May 02, 2018, 7:05 PM UTC

pixelHD wrote: post #36

mbeissinger wrote: post #26

Earlier quoted context omitted.

Thanks! One of the benefits of Lobe is that users who build models from scratch can publish and share to use in other documents, like a community model zoo. We do this for the current architectures internally, but the goal is for the community to help keep up with the firehose state-of-the-art in ML. Something really interesting we have discussed for a future feature is being able to train a model using the data of w…

Oh gotcha! Didn't consider that you'd allow users to write their own models too. Coming to community model zoo, would it be free access to any model, and pay for the training and disk usage (floydhub like)? Or you'd go the quantopian route?

We are focusing on free to access any model explicitly shared by the user and pay for training/deploy resources as a service, but might consider mixing in a paid route for users to monetize their unique trained models.

Re: Lobe – Deep Learning Made Simple

#40

Post by pixelHD » Wed, May 02, 2018, 7:17 PM UTC

This reminds me of Unreal's blueprints. You could get a surprising amount of work done just via blueprints and not touch C++ code.

You'd have to balance the input and output connection's granularity - too many would put off users, too few would make users feel restricted. If you manage to find a sweet spot, or let the user pick the level of expertise, and reveal them accordingly, it would be perfect.

I really like how good it looks, and can't wait to use it myself!