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Description
- Building block for intelligence
- Briefly to information theory
- Universal Approximation Theorem
- manifold hypothesis[Mitter, 2016] (eg. random embedding), etc.
- inductive bias, No-Free-Lunch
- Brain intelligence
- MLP/CNN/LSTM/Attention and more
- Around NN: data, arch (w optimizer), and representation
- Paradigm for learning system
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