Keras declare functional model

# The Keras functional API is a lot more flexible than the Sequential API
from keras.models import Model
from keras.layers import Input
from keras.layers import Dense

# Declared the input layer with input shape 2
visible = Input(shape=(2,))
# Fed the output of the input layer into a hidden layer of size 2
hidden = Dense(2)(visible)
# Defined an actual model out of the above with an output being the same shape as the above layer and input being the size as the input layer
model = Model(inputs=visible, outputs=hidden)

Similar codes

0 vote259 views1 answer
Python console
Python
8 votes252 views2 answers
Pandas filter rows by value in list
Python
4 votes244 views3 answers
Csv to json
Python
0 vote254 views1 answer
Return an RDD with the values of each tuple
Python
0 vote207 views1 answer
Jinja for items in list
Python
5 votes241 views2 answers
Django password field
Python
0 vote243 views1 answer
Pip install rejson
Python
1 vote264 views1 answer
Like in mysqldb python
Python
9 votes251 views3 answers
Time date year python
Python
0 vote247 views1 answer
Get nth character of string python
Python