ValueError: logits and labels must have the same shape ((None, 1) vs (None, 2))
# you should reshape your labels as 2d-tensor
# the first dimension will be the batch dimension and the second the scalar label)
y_train = np.asarray(train_labels).astype('float32').reshape((-1,1))
y_test = np.asarray(test_labels).astype('float32').reshape((-1,1))ValueError: `logits` and `labels` must have the same shape, received ((None, 7) vs (None, 1)).
model.add(Flatten())ValueError: `logits` and `labels` must have the same shape, received ((None, 7) vs (None, 1)).
model.add(GlobalAveragePooling2D())Copyright © 2021 Codeinu
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