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

7 votes277 views4 answers
'numpy.ndarray' object is not callable
Python
0 vote322 views1 answer
Faster way to find list of unique elements in a list
Python
0 vote297 views1 answer
Django generate openapi schema command line
Python
6 votes310 views3 answers
Python open folder
Python
21 votes316 views3 answers
Python string to list of int
Python
1 vote322 views1 answer
How to add an active class to current element in navbar in django
Python
0 vote360 views1 answer
Scipy get frequencies of image
Python
4 votes264 views1 answer
Datetime has no attribute now
Python
1 vote331 views1 answer
Python groupby sum single columns
Python
0 vote328 views1 answer
Pandas dataframe select last n columns
Python