solve this code issue..

KeyError

Traceback $($most recent call last$)$

Cell In$[75],$ line $1$

$---->1$ activations $=$ activation$\_$model.predict$($img$\_$tensor$)$

$2$ #activations $=$ activation$\_$model.predict$\_$on$\_$batch$($img$\_$tensor$)$

File $/$opt$/$conda$/$lib$/$python$3\mathrm{.}10/$site$-$packages$/$keras$/$src$/$utils$/$traceback$\_$utils.py:$122,$ in filter$\_$traceb

ck$..$error$\_$handler$(*$args$,**$kwargs$)$

$119$ filtered$\_$tb $=\_$process$\_$traceback$\_$frames$($e$.\_\_$traceback$\_\_)$

$120$ # To get the full stack trace, call:

$121$ # $`$keras$.$config.disable$\_$traceback$\_$filtering$()`$

$-->122$ raise e$.$with$\_$traceback$($filtered$\_$tb$)$ from None

$123$ finally:

$124$ del filtered$\_$tb

File $/$opt$/$conda$/$lib$/$python$3\mathrm{.}10/$site$-$packages$/$keras$/$src$/$ops$/$function$.$py:$163,$ in Function.$\_$run$\_$through

raph$($self$,$ inputs, operation$\_$fn$,$ call$\_$fn$)$

$161$ output$\_$tensors $=[]$

$162$ for x in self.outputs:

$-->163$ output$\_$tensors.append$($tensor$\_$dict$[$id$($x$)])$

$165$ return tree.pack$\_$sequence$\_$as$($self$.\_$outputs$\_$struct, output$\_$tensors$)$

$```$