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

1 vote108 views1 answer
How do i print when my bot is ready in discord.py
Python
1 vote96 views1 answer
Flask clear session
Python
0 vote106 views1 answer
Realtime output subprocess
Python
1 vote134 views1 answer
Log base 2 python
Python
1 vote119 views1 answer
Django round 2 decimal
Python
0 vote126 views1 answer
How to get column names having numeric value in pandas
Python
1 vote97 views1 answer
How to make any player hit a ball using python turtle
Python
0 vote93 views1 answer
How to import a all the modules in a packege python
Python
0 vote103 views1 answer
Check if key exists in sesson python flask
Python
0 vote111 views1 answer
Removing a channel from aconda
Python