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 vote288 views1 answer
Append multiple strings to list python
Python
0 vote290 views1 answer
Preventing players from changing existing entries in tic tac toe game
Python
0 vote338 views1 answer
Python condition question
Python
0 vote367 views1 answer
Django Abstract base classe
Python Django
110 votes285 views6 answers
Read text file in python
Python
3 votes300 views1 answer
Load saved model tensorflow
Python
8 votes268 views1 answer
How to write a font in pygame
Python
0 vote366 views1 answer
Python String to array using list comprehension
Python
0 vote286 views1 answer
Installing intelpython3_core using anaconda
Python
24 votes291 views5 answers
Remove a part of a string python
Python