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  1. from keras.models import Sequential
  2. from keras.layers import Dense
  3.  
  4. model = Sequential()
  5.  
  6. model.add(Dense(64, activation='relu', input_dim=784))
  7.  
  8. model.add(Dense(32, activation='relu'))
  9.  
  10. model.add(Dense(10, activation='softmax'))
  11.  
  12. model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
Success #stdin #stdout 2.61s 321812KB
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https://ideone.com/LxNE9b
language:
Python 3 (python  3.9.5)
created:
6 days ago
visibility:
public

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