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)Keras train_on_batch
Model.train_on_batch(
x,
y=None,
sample_weight=None,
class_weight=None,
reset_metrics=True,
return_dict=False,
)Copyright © 2021 Codeinu
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