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Encouraging in-depth pursuit of specific knowledge failure of skin-deep learning (Alberts, Science) 141 respondents, 1st and 2nd year students Identifies a need to define a core curriculum that can meet digitally competent learners.
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The letters "Interpretation of the Outputs of Deep Learning Model trained with Skin Cancer Dataset" and "Automated Dermatological Diagnosis: Hype or Reality?" highlight the opportunities, hurdles, and possible pitfalls with the development of tools that allow for automated skin lesion classification.
Deep Learning?
Deep Learning Implementers Speak!
What is deep learning technology?
Especially deep learning.
Skin-deep still counts?
My interest was skin-deep.
But my case was only skin-deep.
Yet changes are mainly skin-deep.
Identity is not simply skin-deep.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com