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model = Sequential() | |
model.add(Conv2D(32, (3,3), input_shape=(64,64,3), activation="relu")) | |
model.add(MaxPool2D(2,2)) | |
model.add(Conv2D(32, (3,3), activation="relu")) | |
model.add(MaxPool2D(2,2)) | |
model.add(Conv2D(16, (3,3), activation="relu")) | |
model.add(MaxPool2D(2,2)) | |
model.add(Flatten()) | |
model.add(Dense(128, activation="relu")) | |
model.add(Dense(4, activation="softmax")) |
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