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Stephen Wolfram Readings: Can AI Solve Science?
The Stephen Wolfram Podcast
Activation Functions Reflect Neural Net Functionality
The curves in neural nets mirror the underlying activation functions, where ramp functions result in straight lines, tanh functions show progression, and sign functions exhibit wiggliness. Extreme functions are less probable with random weights, making them more surprising for neural nets.
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