Deep learning is more complex than a simple equation cepton. Newer networks can learn from itself, so the output of one epoch could be the imput of the next. This reflexive process in itself is the ability to have some sense of memory. And i like the comparison you did between this sort of feedback in a deep learning algary and self reflection as human beings. I think i used it as an analogy, purely based on a feedback lo but memory storage is one thing, but taking to account in a specific context is another.

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