While I never got approved for that beta (probably rightly so, I'm just some random person with no actual connection to ML or AI), I was excited to see what their work led to. Congrats on releasing this latest iteration and acquisition!
While I never got approved for that beta (probably rightly so, I'm just some random person with no actual connection to ML or AI), I was excited to see what their work led to. Congrats on releasing this latest iteration and acquisition!
The reasoning behind the change and the why we abstracted some of those details you are mentioning was to actually make it even more accessible for people to be able to build machine learning models. We think that this is a paradigm that should be used by everyone, and that’s why stripping down the onion of complexity was really important for us when we started with this project.
1. Collecting & labeling images 2. Training your model and evaluating the results 3. Playing with your model and seeing how well its performing