Comments (3)
Please refer the page below:
Thanks!
from tf-keras-vis.
Thank you,
This is what I was looking for. Somehow didn't see these instructions O.o
I tried to use it on a simpler example (cat and dog binary classification) and it worked!
My problem now is when i have nested models...
I used the code:
score = BinaryScore(1.0)
replace2linear = ReplaceToLinear()
gradcam = Gradcam(model,
model_modifier=replace2linear,
clone=True)
cam = gradcam(score,
x_img,
penultimate_layer=-1)
But i got the following error:
ValueError: Graph disconnected: cannot obtain value for tensor KerasTensor(type_spec=TensorSpec(shape=(None, 141, 898, 1), dtype=tf.float32, name='conv2d_12_input'), name='conv2d_12_input', description="created by layer 'conv2d_12_input'") at layer "conv2d_12". The following previous layers were accessed without issue: []
If i do:
model2 = model2 = model.layers[1]
I have:
ValueError: output
shape must be (batch_size, 1), but was (1, 64)
from tf-keras-vis.
I face the same Graph disconnected error
from tf-keras-vis.
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