Lenet 5 keras

model = keras.Sequential()model.add(layers.Conv2D(filters=6, kernel_size=(3, 3), activation='relu', input_shape=(32,32,1)))model.add(layers.AveragePooling2D())model.add(layers.Conv2D(filters=16, kernel_size=(3, 3), activation='relu'))model.add(layers.AveragePooling2D())model.add(layers.Flatten())model.add(layers.Dense(units=120, activation='relu'))model.add(layers.Dense(units=84, activation='relu'))model.add(layers.Dense(units=10, activation = 'softmax'))

Source: medium.com

Similar codes

4 votes311 views1 answer
Np array to wav file
Python
16 votes264 views2 answers
Install django using pip
Python
52 votes285 views6 answers
Sort a dictionary
Python
0 vote311 views1 answer
Add header info in django response
Python Django
0 vote284 views1 answer
Comment arrêter l'exécution d'un programme python
Python
0 vote276 views1 answer
List generation for python
Python
6 votes278 views3 answers
How to get all links text from a website python beautifulsoup
Python
0 vote279 views1 answer
How to disconnect wifi using python
Python
0 vote270 views1 answer
Get number of nodes networkx
Python
-1 vote284 views1 answer
Code error correction
Python