
I am implementing an AI solution for one of MongoDB’s products and I faced the same problem that every engineer in my field faces - how do you get enough data to train your neural nets? Collimator proved to be the best solution for me because of how easy it was to get data from our back end, use that to create synthetic data, and then move that data back into my neural net. I’m now experimenting with training my neural nets within Collimator Review collected by and hosted on G2.com.
Looks like the product is more geared towards EE problems, but I haven’t found that to be a deterrent. In fact, the ability to use block diagrams was quite nice in the early stages of the epic while talking with my PM. In addition, writing up my reports in the same place where my code is has increased the velocity of QA and made sprint planning easier Review collected by and hosted on G2.com.
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Organic review. This review was written entirely without invitation or incentive from G2, a seller, or an affiliate.

