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amankharwal/MLP.py Secret

Created October 28, 2021 09:22
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MLP.py
from keras.models import Sequential
from keras.layers import Dense, Activation
model = Sequential()
model.add(Dense(64, input_dim=2))
model.add(Activation("relu"))
model.add(Dense(32))
model.add(Activation("relu"))
model.add(Dense(16))
model.add(Activation("relu"))
model.add(Dense(2))
model.add(Activation("softmax"))
model.compile(optimizer="adam", loss="categorical_crossentropy", metrics=["accuracy"])
model.summary()
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