Created
November 5, 2014 13:03
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| import theano | |
| import theano.tensor as T | |
| EPS=1E-10 | |
| x=T.dscalar('x') | |
| y=(x-3)**2 - T.log(x) | |
| dy = T.grad(y,x) | |
| ddy = T.grad(dy,x) | |
| f = theano.function([x], y) | |
| next_x = theano.function([x], x-dy/ddy) | |
| x = 10 | |
| dx = 1 | |
| while dx > EPS: | |
| print("y=%12.10g\tx=%12.10g" % (f(x),x)) | |
| nx = next_x(x) | |
| dx = abs(nx - x) | |
| x = nx |
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