Transfer Learning with AlexNet about convnets-keras HOT 3 OPEN

raise ValueError(err.message)
ValueError: Negative dimension size caused by subtracting 11 from 3 for 'conv_1/convolution' (op: 'Conv2D') with input shapes: [?,3,227,227], [11,11,227,96].

Do you know how to debug this？ It occurred when I tried to use the alexnet.

from convnets-keras.

Hi @yueseW.
I'm not sure which code you are referring to. If you're interested in performing transfer learning using AlexNet, you can have a look at my project. If this does not help, then please post the code that you are trying to run.

from convnets-keras.

Hi @yueseW

Actually it's because I guess you are using tensorflow with keras so you have to change the dimension of input shape to (w, h, ch) instead of default (ch, w, h) For e.g. in AlexNet here

def AlexNet(weights_path=None, heatmap=False):
    if heatmap:
        inputs = Input(shape=(3,None,None))
    else:
        inputs = Input(shape=(3,227,227))

You have to change to

def AlexNet(weights_path=None, heatmap=False):
    if heatmap:
        inputs = Input(shape=(None,None, 3))
    else:
        inputs = Input(shape=(227,227,3))

from convnets-keras.