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keras model compile

model = Sequential([
    Dense(32, input_shape=(784,)),
    Activation('relu'),
    Dense(10),
    Activation('sigmoid'),
])

model.compile(
    optimizer="rmsprop",
    loss=None,
    metrics=None,
    loss_weights=None,
    weighted_metrics=None,
    run_eagerly=None,
    steps_per_execution=None
)

model.fit(x, y, batch_size=32, epochs=50)
Comment

model compile keras

compile(
   optimizer, 
   loss = None, 
   metrics = None, 
   loss_weights = None, 
   sample_weight_mode = None, 
   weighted_metrics = None, 
   target_tensors = None
)
Comment

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