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…
Re: Lobe – Deep Learning Made Simple
#71That sounds amazing! I love the idea of integrating ML inside the user experience itself to create a feedback loop that looks for templates that would suit the user, based on the user's previous models and the type of work they are doing. Would you also layer in some type of semantic meta-tagging and specification engine which allows the user to pull in tags and keywords from other software, to help train their own personalized decision support, beyond templates?it would be awesome to connect this to something like https://www.IRIS.AI and get template recommendations alongside recommendations for additional research papers to review on the topic. I couldn't believe how effective this type of integrator could be until I imported my 7+ years of Evernote notes and tags, into my Devonthink document manager. The recommendations I get from both the index of pdfs and my own personal tagged notes create a sum greater then its parts. Your platform looks like an amazing tool to add to that mix.