#learning
ML for VRT - Part 4: Neural Networks
Reading
http://neuralnetworksanddeeplearning.com/chap1.html
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Articles tagged with #machine-learning (4)
#learning
ML for VRT - Part 3: Hands On
I renamed the series to "ML for VRT" instead of "ML vs. VRT"
since that is what I actually want to achieve (eventually), as you can read in
Part 1 - Machine Learning vs. Screenshot Comparing?.
Read on to figure out how I ended up next to learn about neural networks, because I figured
out just applying some code examples learned from tutorials won't suffice my learning
and they won't answer the questions I actually have to understand how to tune a
neural network to do what I image it to do, detecting screenshots for visual regression testing.
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#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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#testing
ML for VRT - Part 1 (was: Machine Learning vs. Screenshot Comparing?)
I broke this site, and thanks to @Holger reporting the error I figured out
I should have done more testing instead of just tweeting that I should :).
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