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[Discussion] Be careful when using pretrained deep learning models

Using pre-trained deep learning models like ResNet, Inception, and VGG is easier than ever, but there are implementation details you need to be careful with to avoid subpar performance and errors.

Put together this list of implementation details to be cautious of — curious to see if I’m missing anything or if other folks have had similar experiences with discrepancies in performance?

https://medium.com/comet-ml/approach-pre-trained-deep-learning-models-with-caution-9f0ff739010c

submitted by /u/ceceshao1
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.