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 vote309 views1 answer
Django update field after save
Python
0 vote336 views1 answer
Godot code for movement for topdown game
Python
0 vote389 views2 answers
Where should favicon.ico be placed in flask app
Python Flask
4 votes319 views1 answer
Find ip address on local network ubuntu
Python
1 vote324 views1 answer
Get all h1 beautifulsoup
Python
-1 vote323 views1 answer
Matplotlib unable agg
Python
0 vote337 views1 answer
Create an empty numpy array of unknown size
Python
1 vote318 views1 answer
Difference between get and filter in django
Python
22 votes356 views5 answers
How to check if a word is a palindrome in python
Python
0 vote338 views1 answer
Beautifulsoup get img alt
Python