Hi,
When I ran the code again, a similar problem occurred. I want to know how to solve it, that would be greatly appreciated.
Traceback (most recent call last):
File "C:/Users/57282/Desktop/land-cover-master/run.py", line 203, in
main()
File "C:/Users/57282/Desktop/land-cover-master/run.py", line 145, in main
train.run_experiment()
File "C:\Users\57282\Desktop\land-cover-master\landcover\train_model_landcover.py", line 441, in run_experiment
model = self.get_model()
File "C:\Users\57282\Desktop\land-cover-master\landcover\train_model_landcover.py", line 378, in get_model
model = models.unet(self.input_shape, self.classes, optimizer, self.loss)
File "C:\Users\57282\Desktop\land-cover-master\landcover\models.py", line 115, in unet
return make_model(i, o, optimizer, loss)
File "C:\Users\57282\Desktop\land-cover-master\landcover\models.py", line 168, in make_model
model.compile(
File "E:\Anaconda\envs\land_cover\lib\site-packages\tensorflow\python\keras\engine\training.py", line 565, in compile
self._validate_compile(optimizer, metrics, **kwargs)
File "E:\Anaconda\envs\land_cover\lib\site-packages\tensorflow\python\keras\engine\training.py", line 2626, in _validate_compile
raise ValueError(
ValueError: Variable (<tf.Variable 'conv2d/kernel:0' shape=(3, 3, 4, 64) dtype=float32, numpy=
array([[[[-0.05316697, 0.01695759, 0.06781096, ..., 0.04036037,
-0.02615297, -0.05482 ],
[-0.03512351, 0.00207546, 0.08749197, ..., -0.03793961,
-0.0256898 , -0.02477491],
[-0.02103255, -0.02145103, -0.09544748, ..., 0.08490782,
0.00683988, -0.00993489],
[ 0.07889044, 0.03161094, -0.02841607, ..., 0.07148486,
-0.08556601, 0.01502845]],
[[ 0.02166805, -0.0465791 , 0.03786724, ..., -0.05684982,
-0.02745763, -0.02497146],
[-0.0321082 , -0.07753698, 0.08001576, ..., 0.03958925,
-0.01430742, 0.07854632],
[ 0.03598402, -0.009101 , -0.08477397, ..., 0.04529131,
-0.0007516 , 0.07106098],
[-0.01125589, 0.02705219, -0.02472276, ..., 0.01507821,
-0.086858