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First day of deep learning and tensorflow learning

1. Linear regression

x: input data

F (x): prediction

Y: real data, ground One truth

F( x) Infinitesimal approach y best , error function loss = w* xi +b - yi The square of i Accumulation , send loss Function minimum

Minimize loss

W' *x+b' →y

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