Keras sequential layer

Keras.sequential

from keras.models import Sequential
from keras.layers import Dense, Activation

model = Sequential([
    Dense(32, input_shape=(784,)),
    Activation('relu'),
    Dense(10),
    Activation('softmax'),
])

Keras sequential layer

model = keras.Sequential(
    [
        layers.Dense(2, activation="relu"),
        layers.Dense(3, activation="relu"),
        layers.Dense(4),
    ]
)

Source: keras.io

Similar codes

2 votes244 views2 answers
Python exception element not found
Python
1 vote233 views1 answer
List(set()) python remove order
Python
105 votes237 views6 answers
Split string python
Python
1 vote242 views1 answer
Use miraculous with token
Python
8 votes246 views2 answers
Python inner join based on two columns
Python
0 vote238 views1 answer
How to apply labelencoder on multiple columns at once
Python
6 votes226 views2 answers
Max int value in python
Python
0 vote234 views1 answer
Geodataframe get crs
Python
1 vote251 views1 answer
Django clear db
Python Django
0 vote224 views1 answer
Python recognize every white color
Python