Have there been any discoveries through ML outputs that made us realize something new about nature/people that we didn't see due to human perception?
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Turns out image classification is a lot easier than we thought and can be done without a high-level abstract understanding of an image. This holds true in general: human mental models are a lot more general and powerful than what's required for any specific task.
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Does this figure come from a paper?
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Deep Learning with Python, first edition, chapter 9
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Machine learning lives chained to the wall of the cavern and we are a biased fire projecting fuzzy shadows.
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Hi Francois, Hope your new son, his mother and you are doing ok. What do you think about this:https://youtu.be/d8nzFqoEOvE
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is there anything pytorch van do but keras cant?
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Does this mean bias in ML is because of bias labelled data but ML algo's can never be biased?
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I like how this connects the explainability and the fairness ideas to explain that humans are in fact less explainable and less fair than AI As part of that and consequence of our biases, we consider AI to be less fair and less explainable, when in fact it is just not-humanpic.twitter.com/fVDNaUP8tk
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