Tensorflow Binary Classification Model

Tensorflow Binary Classification Model

model = Sequential()
model.add(normalizer)
model.add(Dense(5, input_shape=(X_train.shape[1],),
                activation='relu', kernel_initializer='he_normal'))
model.add(Dropout(0.2))
model.add(Dense(5, activation="relu",
                kernel_initializer='he_normal'))
model.add(Dropout(0.2))
model.add(Dense(1, activation="sigmoid",
                kernel_initializer="glorot_normal"))