#testing
ML for VRT - Part 2: Learning Keras
In part 1
I started my naive investigation on how to apply machine learning for making visual regression tests (VRT) better. I described the problem to solve, explored Keras very superficially and did also touched on the complexity of doing ML myself as opposed to having colleagues who are experts and who throw phrases like "train a model" and "predict" etc. around.
Oh boy, did I underestimate this.
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