Python activations.serialize方法代碼示例

本文整理匯總了Python中keras.activations.serialize方法的典型用法代碼示例。如果您正苦於以下問題：Python activations.serialize方法的具體用法？Python activations.serialize怎麽用？Python activations.serialize使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類keras.activations的用法示例。

在下文中一共展示了activations.serialize方法的15個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。

示例1: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        if self.kernel_initializer in {'complex'}:
            ki = self.kernel_initializer
        else:
            ki = initializers.serialize(self.kernel_initializer)
        config = {
            'units': self.units,
            'activation': activations.serialize(self.activation),
            'use_bias': self.use_bias,
            'init_criterion': self.init_criterion,
            'kernel_initializer': ki,
            'bias_initializer': initializers.serialize(self.bias_initializer),
            'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
            'bias_regularizer': regularizers.serialize(self.bias_regularizer),
            'activity_regularizer': regularizers.serialize(self.activity_regularizer),
            'kernel_constraint': constraints.serialize(self.kernel_constraint),
            'bias_constraint': constraints.serialize(self.bias_constraint),
            'seed': self.seed,
        }
        base_config = super(ComplexDense, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:ChihebTrabelsi，項目名稱:deep_complex_networks，代碼行數:23，代碼來源:dense.py

示例2: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {'units': self.units,
                  'projection_units': self.projection_units,
                  'activation': activations.serialize(self.activation),
                  'recurrent_activation': activations.serialize(self.recurrent_activation),
                  'projection_activation': activations.serialize(self.projection_activation),
                  'use_bias': self.use_bias,
                  'kernel_initializer': initializers.serialize(self.kernel_initializer),
                  'recurrent_initializer': initializers.serialize(self.recurrent_initializer),
                  'projection_initializer': initializers.serialize(self.projection_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'unit_forget_bias': self.unit_forget_bias,
                  'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
                  'recurrent_regularizer': regularizers.serialize(self.recurrent_regularizer),
                  'projection_regularizer': regularizers.serialize(self.projection_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'kernel_constraint': constraints.serialize(self.kernel_constraint),
                  'recurrent_constraint': constraints.serialize(self.recurrent_constraint),
                  'projection_constraint': constraints.serialize(self.projection_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint),
                  'dropout': self.dropout,
                  'recurrent_dropout': self.recurrent_dropout,
                  'implementation': self.implementation}
        base_config = super(NASCell, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:titu1994，項目名稱:neural-architecture-search，代碼行數:27，代碼來源:nascell.py

示例3: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {
            'rank': self.rank,
            'filters': self.filters,
            'kernel_size': self.kernel_size,
            'strides': self.strides,
            'padding': self.padding,
            'data_format': self.data_format,
            'dilation_rate': self.dilation_rate,
            'activation': activations.serialize(self.activation),
            'use_bias': self.use_bias,
            'kernel_initializer': initializers.serialize(self.kernel_initializer),
            'bias_initializer': initializers.serialize(self.bias_initializer),
            'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
            'bias_regularizer': regularizers.serialize(self.bias_regularizer),
            'activity_regularizer': regularizers.serialize(self.activity_regularizer),
            'kernel_constraint': constraints.serialize(self.kernel_constraint),
            'bias_constraint': constraints.serialize(self.bias_constraint)
        }
        base_config = super(_Conv, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:emilwallner，項目名稱:Coloring-greyscale-images，代碼行數:23，代碼來源:sn.py

示例4: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        if self.kernel_initializer == 'quaternion':
            ki = self.kernel_init
        else:
            ki = initializers.serialize(self.kernel_initializer)
        config = {
            'units': self.units,
            'activation': activations.serialize(self.activation),
            'use_bias': self.use_bias,
            'init_criterion': self.init_criterion,
            'kernel_initializer': ki,
            'bias_initializer': initializers.serialize(self.bias_initializer),
            'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
            'bias_regularizer': regularizers.serialize(self.bias_regularizer),
            'activity_regularizer': regularizers.serialize(self.activity_regularizer),
            'kernel_constraint': constraints.serialize(self.kernel_constraint),
            'bias_constraint': constraints.serialize(self.bias_constraint),
            'seed': self.seed,
        }
        base_config = super(QuaternionDense, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:Orkis-Research，項目名稱:Quaternion-Convolutional-Neural-Networks-for-End-to-End-Automatic-Speech-Recognition，代碼行數:23，代碼來源:dense.py

示例5: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {'units': self.units,
                  'recurrent_clip_min': self.recurrent_clip_min,
                  'recurrent_clip_max': self.recurrent_clip_max,
                  'activation': activations.serialize(self.activation),
                  'use_bias': self.use_bias,
                  'kernel_initializer': initializers.serialize(self.kernel_initializer),
                  'recurrent_initializer': initializers.serialize(self.recurrent_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
                  'recurrent_regularizer': regularizers.serialize(self.recurrent_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'kernel_constraint': constraints.serialize(self.kernel_constraint),
                  'recurrent_constraint': constraints.serialize(self.recurrent_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint),
                  'dropout': self.dropout,
                  'recurrent_dropout': self.recurrent_dropout,
                  'implementation': self.implementation}
        base_config = super(IndRNNCell, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:titu1994，項目名稱:Keras-IndRNN，代碼行數:22，代碼來源:ind_rnn.py

示例6: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {'units': self.units,
                  'depth': self.depth,
                  'activation': activations.serialize(self.activation),
                  'recurrent_activation': activations.serialize(self.recurrent_activation),
                  'cell_activation': activations.serialize(self.cell_activation),
                  'use_bias': self.use_bias,
                  'kernel_initializer': initializers.serialize(self.kernel_initializer),
                  'recurrent_initializer': initializers.serialize(self.recurrent_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'unit_forget_bias': self.unit_forget_bias,
                  'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
                  'recurrent_regularizer': regularizers.serialize(self.recurrent_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'kernel_constraint': constraints.serialize(self.kernel_constraint),
                  'recurrent_constraint': constraints.serialize(self.recurrent_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint),
                  'dropout': self.dropout,
                  'recurrent_dropout': self.recurrent_dropout,
                  'implementation': self.implementation}
        base_config = super(NestedLSTMCell, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:titu1994，項目名稱:Nested-LSTM，代碼行數:24，代碼來源:nested_lstm.py

示例7: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {'units': self.units,
                  'window_size': self.window_size,
                  'stride': self.strides[0],
                  'return_sequences': self.return_sequences,
                  'go_backwards': self.go_backwards,
                  'stateful': self.stateful,
                  'unroll': self.unroll,
                  'use_bias': self.use_bias,
                  'dropout': self.dropout,
                  'activation': activations.serialize(self.activation),
                  'kernel_initializer': initializers.serialize(self.kernel_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'activity_regularizer': regularizers.serialize(self.activity_regularizer),
                  'kernel_constraint': constraints.serialize(self.kernel_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint),
                  'input_dim': self.input_dim,
                  'input_length': self.input_length}
        base_config = super(QRNN, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:amansrivastava17，項目名稱:embedding-as-service，代碼行數:24，代碼來源:qrnn.py

示例8: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {
            'filters': self.filters,
            'kernel_size': self.kernel_size,
            'kernel_initializer': initializers.serialize(self.kernel_initializer),
            'activation': activations.serialize(self.activation),
            'padding': self.padding,
            'strides': self.strides,
            'data_format': self.data_format,
            'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
            'bias_regularizer': regularizers.serialize(self.bias_regularizer),
            'activity_regularizer':
                regularizers.serialize(self.activity_regularizer),
            'kernel_constraint': constraints.serialize(self.kernel_constraint),
            'bias_constraint': constraints.serialize(self.bias_constraint),
            'use_bias': self.use_bias}
        base_config = super(CosineConvolution2D, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:keras-team，項目名稱:keras-contrib，代碼行數:20，代碼來源:cosineconvolution2d.py

示例9: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {'output_dim': self.output_dim,
                  'window_size': self.window_size,
                  'init': self.init.get_config(),
                  'stride': self.strides[0],
                  'activation': activations.serialize(self.activation),
                  'kernel_initializer': initializers.serialize(self.kernel_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'activity_regularizer': regularizers.serialize(self.activy_regularizer),
                  'kernel_constraint': constraints.serialize(self.kernel_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint),
                  'use_bias': self.use_bias,
                  'input_dim': self.input_dim,
                  'input_length': self.input_length}
        base_config = super(GCNN, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:DingKe，項目名稱:nn_playground，代碼行數:20，代碼來源:gcnn.py

示例10: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {'units': self.units,
                  'learn_mode': self.learn_mode,
                  'test_mode': self.test_mode,
                  'use_boundary': self.use_boundary,
                  'use_bias': self.use_bias,
                  'sparse_target': self.sparse_target,
                  'kernel_initializer': initializers.serialize(self.kernel_initializer),
                  'chain_initializer': initializers.serialize(self.chain_initializer),
                  'boundary_initializer': initializers.serialize(self.boundary_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'activation': activations.serialize(self.activation),
                  'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
                  'chain_regularizer': regularizers.serialize(self.chain_regularizer),
                  'boundary_regularizer': regularizers.serialize(self.boundary_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'kernel_constraint': constraints.serialize(self.kernel_constraint),
                  'chain_constraint': constraints.serialize(self.chain_constraint),
                  'boundary_constraint': constraints.serialize(self.boundary_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint),
                  'input_dim': self.input_dim,
                  'unroll': self.unroll}
        base_config = super(CRF, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:yongyuwen，項目名稱:sequence-tagging-ner，代碼行數:26，代碼來源:layers.py

示例11: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {
            'units': self.units,
            'n_experts':self.n_experts,
            'expert_activation': activations.serialize(self.expert_activation),
            'gating_activation': activations.serialize(self.gating_activation),
            'use_expert_bias': self.use_expert_bias,
            'use_gating_bias': self.use_gating_bias,
            'expert_kernel_initializer_scale': self.expert_kernel_initializer_scale,
            'gating_kernel_initializer_scale': self.gating_kernel_initializer_scale,
            'expert_bias_initializer': initializers.serialize(self.expert_bias_initializer),
            'gating_bias_initializer': initializers.serialize(self.gating_bias_initializer),
            'expert_kernel_regularizer': regularizers.serialize(self.expert_kernel_regularizer),
            'gating_kernel_regularizer': regularizers.serialize(self.gating_kernel_regularizer),
            'expert_bias_regularizer': regularizers.serialize(self.expert_bias_regularizer),
            'gating_bias_regularizer': regularizers.serialize(self.gating_bias_regularizer),
            'expert_kernel_constraint': constraints.serialize(self.expert_kernel_constraint),
            'gating_kernel_constraint': constraints.serialize(self.gating_kernel_constraint),
            'expert_bias_constraint': constraints.serialize(self.expert_bias_constraint),
            'gating_bias_constraint': constraints.serialize(self.gating_bias_constraint),
            'activity_regularizer': regularizers.serialize(self.activity_regularizer)
        }
        base_config = super(DenseMoE, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:eminorhan，項目名稱:mixture-of-experts，代碼行數:26，代碼來源:DenseMoE.py

示例12: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {'units': self.units,
                  'activation': activations.serialize(self.activation),
                  'use_bias': self.use_bias,
                  'kernel_initializer': initializers.serialize(self.kernel_initializer),
                  'recurrent_initializer': initializers.serialize(self.recurrent_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
                  'recurrent_regularizer': regularizers.serialize(self.recurrent_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'activity_regularizer': regularizers.serialize(self.activity_regularizer),
                  'kernel_constraint': constraints.serialize(self.kernel_constraint),
                  'recurrent_constraint': constraints.serialize(self.recurrent_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint),
                  'dropout': self.dropout,
                  'recurrent_dropout': self.recurrent_dropout}
        base_config = super(TT_RNN, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:Tuyki，項目名稱:TT_RNN，代碼行數:20，代碼來源:TTRNN.py

示例13: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {'units': self.units,
                  'activation': activations.serialize(self.activation),
                  'recurrent_activation': activations.serialize(self.recurrent_activation),
                  'use_bias': self.use_bias,
                  'kernel_initializer': initializers.serialize(self.kernel_initializer),
                  'recurrent_initializer': initializers.serialize(self.recurrent_initializer),
                  'bias_initializer': initializers.serialize(self.bias_initializer),
                  'unit_forget_bias': self.unit_forget_bias,
                  'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
                  'recurrent_regularizer': regularizers.serialize(self.recurrent_regularizer),
                  'bias_regularizer': regularizers.serialize(self.bias_regularizer),
                  'activity_regularizer': regularizers.serialize(self.activity_regularizer),
                  'kernel_constraint': constraints.serialize(self.kernel_constraint),
                  'recurrent_constraint': constraints.serialize(self.recurrent_constraint),
                  'bias_constraint': constraints.serialize(self.bias_constraint),
                  'dropout': self.dropout,
                  'recurrent_dropout': self.recurrent_dropout}
        base_config = super(PhasedLSTM, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:fferroni，項目名稱:PhasedLSTM-Keras，代碼行數:22，代碼來源:PhasedLSTM.py

示例14: sanitizedInitSer

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def sanitizedInitSer(init):
	if init in [sqrt_init]:
		return "sqrt_init"
	elif init == "complex" or isinstance(init, ComplexInit):
		return "complex"
	elif init == "complex_independent" or isinstance(init, ComplexIndependentFilters):
		return "complex_independent"
	else:
		return initializers.serialize(init)

開發者ID:ChihebTrabelsi，項目名稱:deep_complex_networks，代碼行數:11，代碼來源:conv.py

示例15: get_config

# 需要導入模塊: from keras import activations [as 別名]
# 或者: from keras.activations import serialize [as 別名]
def get_config(self):
        config = {
            'rank': self.rank,
            'filters': self.filters,
            'kernel_size': self.kernel_size,
            'strides': self.strides,
            'padding': self.padding,
            'data_format': self.data_format,
            'dilation_rate': self.dilation_rate,
            'activation': activations.serialize(self.activation),
            'use_bias': self.use_bias,
            'normalize_weight': self.normalize_weight,
            'kernel_initializer': sanitizedInitSer(self.kernel_initializer),
            'bias_initializer': sanitizedInitSer(self.bias_initializer),
            'gamma_diag_initializer': sanitizedInitSer(self.gamma_diag_initializer),
            'gamma_off_initializer': sanitizedInitSer(self.gamma_off_initializer),
            'kernel_regularizer': regularizers.serialize(self.kernel_regularizer),
            'bias_regularizer': regularizers.serialize(self.bias_regularizer),
            'gamma_diag_regularizer': regularizers.serialize(self.gamma_diag_regularizer),
            'gamma_off_regularizer': regularizers.serialize(self.gamma_off_regularizer),
            'activity_regularizer': regularizers.serialize(self.activity_regularizer),
            'kernel_constraint': constraints.serialize(self.kernel_constraint),
            'bias_constraint': constraints.serialize(self.bias_constraint),
            'gamma_diag_constraint': constraints.serialize(self.gamma_diag_constraint),
            'gamma_off_constraint': constraints.serialize(self.gamma_off_constraint),
            'init_criterion': self.init_criterion,
            'spectral_parametrization': self.spectral_parametrization,
        }
        base_config = super(ComplexConv, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:ChihebTrabelsi，項目名稱:deep_complex_networks，代碼行數:32，代碼來源:conv.py

注：本文中的keras.activations.serialize方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。