When I create a simple Keras Model
model = Sequential()
model.add(Dense(10, activation=\'tanh\', input_dim=1))
model.add(Dense(1, activation=\'linear\'))
model.c
You can create a name scope to group layers in your model using with K.name_scope('name_scope')
.
Example:
with K.name_scope('CustomLayer'):
# add first layer in new scope
x = GlobalAveragePooling2D()(x)
# add a second fully connected layer
x = Dense(1024, activation='relu')(x)
Thanks to https://github.com/fchollet/keras/pull/4233#issuecomment-316954784