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I totally got it that code has no training at all in starting example of enc-dec example around pages ch9 p227-p233 where two corners were fed into enc-dec model and final corner of output of two corner is displayed.
I see example input is starting from lower left going CCW. Final corner in the example is obviously [1,-1]. But the predicted final output is I am also seeing
tensor([[[ 0.3105, -0.5263]]], grad_fn=)
while it is not close to 1,-1 but it at least got the coordinate panes right (+, -), wondering how did it so, by pure luck??
The text was updated successfully, but these errors were encountered:
Alright, printing full last two corners got following, 3rd corner also +, - signifying random nature. WIll be interesting to read the output once trained. Can close this issue or open a while is fine just to bring up interesting points.
I totally got it that code has no training at all in starting example of enc-dec example around pages ch9 p227-p233 where two corners were fed into enc-dec model and final corner of output of two corner is displayed.
I see example input is starting from lower left going CCW. Final corner in the example is obviously [1,-1]. But the predicted final output is I am also seeing
tensor([[[ 0.3105, -0.5263]]], grad_fn=)
while it is not close to 1,-1 but it at least got the coordinate panes right (+, -), wondering how did it so, by pure luck??
The text was updated successfully, but these errors were encountered: