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I don’t think that it is a proper characterization to say DL is around 7 years old. Some of the core ideas are at least 25-30 years old. However lack of data, computing power and organized, large-scale sharing (GitHub) among practitioners restricted its scope earlier.
It’s really even older than that depending on how you look at it. It goes back to the perceptrons of 60 years ago! But indeed the term “deep learning” was basically a rebranding of neural networks, which were way out of style previously.
Absolutely! What I meant was some of the most celebrated aspects of DL (or less ambiguously end-to-end representation learning) today (CNN, LSTM, two agents learning adversarially against each other - to name a few) were already fleshed out by mid nineties.
This is really important to remember and acknowledge! Good things take time.
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