Good day my people, pls I having error in using GRAD-CAM with a fine-tuned VGG16.

First code error:
ValueError: Input 0 of layer dense_1 is incompatible with the layer: expected axis -1 of input shape to have value 64 but received input with shape [None, 14, 14, 512]

Second code error:
ValueError: `decode_predictions` expects a batch of predictions (i.e. a 2D array of shape (samples, 1000)). Found array with shape: (1, 3)

I will appreciate your help and contribution.
Whatsapp contact if there is need for me to share my code: 08068998735

Thank you.

milkytins:
Good day my people, pls I having error in using GRAD-CAM with a fine-tuned VGG16.

First code error:
ValueError: Input 0 of layer dense_1 is incompatible with the layer: expected axis -1 of input shape to have value 64 but received input with shape [None, 14, 14, 512]

Second code error:
ValueError: `decode_predictions` expects a batch of predictions (i.e. a 2D array of shape (samples, 1000)). Found array with shape: (1, 3)

I will appreciate your help and contribution.
Whatsapp contact if there is need for me to share my code: 08068998735

Thank you.

Providing more codes might help in getting to the root of these errors. Although I have not used Grad-cam before but the errors you are getting already point to where the problem is.

Firstly, the error says your input isn't compatible with the first dense layer of VGG16, so you should look at your preprocessing pipeline (if you have any in your code, perhaps the size). In other words, your input image is not compatible with the model.

Secondly, Grad-cam needs to decode the top three predictions from the output of the model but since the input image is not compatible, you are getting the second error. Intuitively, solving the first error should address the second one.

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