model = EfficientNetB3(weights='imagenet', input_shape = (28,28,3), include_top=False)
but
ValueError: Input size must be at least 32x32; got `input_shape=(28, 28, 3)`
this error occured…
I found some code that used input_shape = (28,28,3),
and in keras documentation, they explict only: _input_shape: Optional shape tuple, only to be specified if includetop is False. It should have exactly 3 inputs channels.
How can I fix it?
Or... scale up is the only way to solve the problem?
I wrote a code like this
but
this error occured…
I found some code that used
input_shape = (28,28,3)
, and in keras documentation, they explict only: _input_shape: Optional shape tuple, only to be specified if includetop is False. It should have exactly 3 inputs channels.How can I fix it? Or... scale up is the only way to solve the problem?
I use 2 computers and each version is