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

1 vote257 views1 answer
Def rectangles
Python
0 vote238 views1 answer
How to access python list
Python
0 vote271 views2 answers
How to terminate a program cv2 python
Python
6 votes273 views2 answers
How to check if django is installed( in python shell)
Python
0 vote265 views1 answer
Sending email in django
Python
1 vote270 views3 answers
Python how to draw a rectangle
Python
0 vote256 views1 answer
Assignment 7.1 python data structures
Python
0 vote253 views1 answer
From wireframe GUI design to python tkinter
Python
5 votes238 views1 answer
Random forest regressor python
Python
11 votes259 views6 answers
Dataframe delete duplicate rows with same column value
Python