cannot import name activity_l2 from keras.regularizers

[Jayoprell]

[Jayoprell]

I' ve see this problem in the course forums and it has been solved now. The version of keras are caused the problem. So all you need to do is as follows:
Make some changes to utils.py if you are using keras 2.0+:
from keras.regularizers import l2, activity_l2, l1, activity_l1 ----> from keras.regularizers import l2, l1
from keras.utils.layer_utils import layer_from_config -----> from keras.layers import deserialize as layer_from_config

[almandsky]

I think you are using keras 2.0+. You can try install the keras 1.2.2

pip install keras=1.2.2

otherwise you may need to make some changes to the utils.py as @Jayoprell mentioned above. I also need to modify the vgg16.py to make it work in my laptop.

--- a/deeplearning1/nbs/vgg16.py
+++ b/deeplearning1/nbs/vgg16.py
@@ -174,7 +174,7 @@ class Vgg16():
                 batches : A keras.preprocessing.image.ImageDataGenerator object.
                           See definition for get_batches().
         """
-        self.ft(batches.nb_class)
+        self.ft(batches.num_class)
         classes = list(iter(batches.class_indices)) # get a list of all the class labels
         
         # batches.class_indices is a dict with the class name as key and an index as value
@@ -209,8 +209,8 @@ class Vgg16():
             Fits the model on data yielded batch-by-batch by a Python generator.
             See Keras documentation: https://keras.io/models/model/
         """
-        self.model.fit_generator(batches, samples_per_epoch=batches.nb_sample, nb_epoch=nb_epoch,
-                validation_data=val_batches, nb_val_samples=val_batches.nb_sample)
+        self.model.fit_generator(batches, samples_per_epoch=batches.samples, nb_epoch=nb_epoch,
+                validation_data=val_batches, nb_val_samples=val_batches.samples)
 
 
     def test(self, path, batch_size=8):
@@ -227,5 +227,5 @@ class Vgg16():
     
         """
         test_batches = self.get_batches(path, shuffle=False, batch_size=batch_size, class_mode=None)
-        return test_batches, self.model.predict_generator(test_batches, test_batches.nb_sample)
+        return test_batches, self.model.predict_generator(test_batches, test_batches.samples)

[royshouvik]

I faced the same issue on trying to run the lesson 1 notebook on Crestle. Here's what I did

1. On a terminal
   pip install keras==1.2.2

2. Restart Jupyter notebook.

3. Verify Keras version using python -c 'import keras; print(keras.__version__)'

Hope it helps.

[ethirajsrinivasan]

In keras 2 even after changing nb_class to num_class i am getting the error as above

[ak9250]

@royshouvik after doing pip install I am getting AttributeError: 'module' object has no attribute 'HiddenLayer'