I originally was using input data of int8 type ranging from 0-255 before learning that standardizing and normalizing should increase learning speeds and accuracy. I attempted both, with and without a mean of zero, and none of these methods improved learning speed or accuracy for my model relative to 0-255, int8 approach. I’m just wondering whether training with, for example,
Tag: efficientnet
How to remove first N layers from a Keras Model?
I would like to remove the first N layers from the pretrained Keras model. For example, an EfficientNetB0, whose first 3 layers are responsible only for preprocessing: As M.Innat mentioned, the first layer is an Input Layer, which should be either spared or re-attached. I would like to remove those layers, but simple approach like this throws error: This will