Tensorboard and Dropout Layers

Question

I have a very basic query. I have made 4 almost identical(Difference being input shapes) CNN and have merged them while connecting to a Feed Forward Network of fully connected layers.

Code for the almost identical CNN(s):

model3 = Sequential()
model3.add(Convolution2D(32, (3, 3), activation='relu', padding='same', 
                                     input_shape=(batch_size[3], seq_len, channels)))
model3.add(MaxPooling2D(pool_size=(2, 2)))
model3.add(Dropout(0.1))
model3.add(Convolution2D(64, (3, 3), activation='relu', padding='same'))
model3.add(MaxPooling2D(pool_size=(2, 2)))
model3.add(Flatten())

But on tensorboard I see all the Dropout layers are interconnected, and Dropout1 is of different color than Dropout2,3,4,etc which all are the same color.

Tensorboard and Dropout Layers

1 Answers