本文整理汇总了Python中keras.models.Sequential.build方法的典型用法代码示例。如果您正苦于以下问题：Python Sequential.build方法的具体用法？Python Sequential.build怎么用？Python Sequential.build使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类keras.models.Sequential的用法示例。
在下文中一共展示了Sequential.build方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_sequential_count_params
# 需要导入模块: from keras.models import Sequential [as 别名]
# 或者: from keras.models.Sequential import build [as 别名]
def test_sequential_count_params():
input_dim = 20
num_units = 10
num_classes = 2
n = input_dim * num_units + num_units
n += num_units * num_units + num_units
n += num_units * num_classes + num_classes
model = Sequential()
model.add(Dense(num_units, input_shape=(input_dim,)))
model.add(Dense(num_units))
model.add(Dense(num_classes))
model.add(Activation('softmax'))
model.build()
assert(n == model.count_params())
model.compile('sgd', 'binary_crossentropy')
assert(n == model.count_params())示例2: test_sequential_count_params
# 需要导入模块: from keras.models import Sequential [as 别名]
# 或者: from keras.models.Sequential import build [as 别名]
def test_sequential_count_params():
input_dim = 20
nb_units = 10
nb_classes = 2
n = input_dim * nb_units + nb_units
n += nb_units * nb_units + nb_units
n += nb_units * nb_classes + nb_classes
model = Sequential()
model.add(Dense(nb_units, input_shape=(input_dim,)))
model.add(Dense(nb_units))
model.add(Dense(nb_classes))
model.add(Activation("softmax"))
model.build()
assert n == model.count_params()
model.compile("sgd", "binary_crossentropy")
assert n == model.count_params()