Python initializers.serialize方法代碼示例

本文整理匯總了Python中keras.initializers.serialize方法的典型用法代碼示例。如果您正苦於以下問題：Python initializers.serialize方法的具體用法？Python initializers.serialize怎麽用？Python initializers.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.initializers的用法示例。

在下文中一共展示了initializers.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 initializers [as 別名]
# 或者: from keras.initializers import serialize [as 別名]
def get_config(self):
        config = super(DepthwiseConv2D, self).get_config()
        config.pop('filters')
        config.pop('kernel_initializer')
        config.pop('kernel_regularizer')
        config.pop('kernel_constraint')
        config['depth_multiplier'] = self.depth_multiplier
        config['depthwise_initializer'] = initializers.serialize(
            self.depthwise_initializer)
        config['depthwise_regularizer'] = regularizers.serialize(
            self.depthwise_regularizer)
        config['depthwise_constraint'] = constraints.serialize(
            self.depthwise_constraint)
        return config
        
# Tracker

開發者ID:junhwanjang，項目名稱:face_landmark_dnn，代碼行數:18，代碼來源:utils.py

示例2: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers import serialize [as 別名]
def get_config(self):
        config = {
            'groups': self.groups,
            'axis': self.axis,
            'epsilon': self.epsilon,
            'center': self.center,
            'scale': self.scale,
            'beta_initializer': initializers.serialize(self.beta_initializer),
            'gamma_initializer': initializers.serialize(self.gamma_initializer),
            'beta_regularizer': regularizers.serialize(self.beta_regularizer),
            'gamma_regularizer': regularizers.serialize(self.gamma_regularizer),
            'beta_constraint': constraints.serialize(self.beta_constraint),
            'gamma_constraint': constraints.serialize(self.gamma_constraint)
        }
        base_config = super(GroupNormalization, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:titu1994，項目名稱:keras-global-context-networks，代碼行數:18，代碼來源:group_norm.py

示例3: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers 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4: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers import serialize [as 別名]
def get_config(self):
        config = {
            'axis': self.axis,
            'epsilon': self.epsilon,
            'center': self.center,
            'scale': self.scale,
            'beta_initializer': initializers.serialize(self.beta_initializer),
            'gamma_diag_initializer': initializers.serialize(self.gamma_diag_initializer),
            'gamma_off_initializer': initializers.serialize(self.gamma_off_initializer),
            'beta_regularizer': regularizers.serialize(self.beta_regularizer),
            'gamma_diag_regularizer': regularizers.serialize(self.gamma_diag_regularizer),
            'gamma_off_regularizer': regularizers.serialize(self.gamma_off_regularizer),
            'beta_constraint': constraints.serialize(self.beta_constraint),
            'gamma_diag_constraint': constraints.serialize(self.gamma_diag_constraint),
            'gamma_off_constraint': constraints.serialize(self.gamma_off_constraint),
        }
        base_config = super(ComplexLayerNorm, 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:20，代碼來源:norm.py

示例5: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers import serialize [as 別名]
def get_config(self):
        config = {
            'axis': self.axis,
            'momentum': self.momentum,
            'epsilon': self.epsilon,
            'center': self.center,
            'scale': self.scale,
            'beta_initializer':              sanitizedInitSer(self.beta_initializer),
            'gamma_diag_initializer':        sanitizedInitSer(self.gamma_diag_initializer),
            'gamma_off_initializer':         sanitizedInitSer(self.gamma_off_initializer),
            'moving_mean_initializer':       sanitizedInitSer(self.moving_mean_initializer),
            'moving_variance_initializer':   sanitizedInitSer(self.moving_variance_initializer),
            'moving_covariance_initializer': sanitizedInitSer(self.moving_covariance_initializer),
            'beta_regularizer':              regularizers.serialize(self.beta_regularizer),
            'gamma_diag_regularizer':        regularizers.serialize(self.gamma_diag_regularizer),
            'gamma_off_regularizer':         regularizers.serialize(self.gamma_off_regularizer),
            'beta_constraint':               constraints .serialize(self.beta_constraint),
            'gamma_diag_constraint':         constraints .serialize(self.gamma_diag_constraint),
            'gamma_off_constraint':          constraints .serialize(self.gamma_off_constraint),
        }
        base_config = super(ComplexBatchNormalization, 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:24，代碼來源:bn.py

示例6: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers 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7: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers 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8: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers import serialize [as 別名]
def get_config(self):
        config = {'epsilon': self.epsilon,
                  'axis': self.axis,
                  'center': self.center,
                  'scale': self.scale,
                  'momentum': self.momentum,
                  'gamma_regularizer': initializers.serialize(self.gamma_regularizer),
                  'beta_regularizer': initializers.serialize(self.beta_regularizer),
                  'moving_mean_initializer': initializers.serialize(self.moving_mean_initializer),
                  'moving_variance_initializer': initializers.serialize(self.moving_variance_initializer),
                  'beta_constraint': constraints.serialize(self.beta_constraint),
                  'gamma_constraint': constraints.serialize(self.gamma_constraint),
                  'r_max_value': self.r_max_value,
                  'd_max_value': self.d_max_value,
                  't_delta': self.t_delta}
        base_config = super(BatchRenormalization, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:deepakbaby，項目名稱:se_relativisticgan，代碼行數:19，代碼來源:normalizations.py

示例9: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers 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10: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers import serialize [as 別名]
def get_config(self):
        config = {
            'axis': self.axis,
            'epsilon': self.epsilon,
            'momentum': self.momentum,
            'center': self.center,
            'scale': self.scale,
            'beta_initializer': initializers.serialize(self.beta_initializer),
            'gamma_initializer': initializers.serialize(self.gamma_initializer),
            'mean_weights_initializer': initializers.serialize(self.mean_weights_initializer),
            'variance_weights_initializer': initializers.serialize(self.variance_weights_initializer),
            'moving_mean_initializer': initializers.serialize(self.moving_mean_initializer),
            'moving_variance_initializer': initializers.serialize(self.moving_variance_initializer),
            'beta_regularizer': regularizers.serialize(self.beta_regularizer),
            'gamma_regularizer': regularizers.serialize(self.gamma_regularizer),
            'mean_weights_regularizer': regularizers.serialize(self.mean_weights_regularizer),
            'variance_weights_regularizer': regularizers.serialize(self.variance_weights_regularizer),
            'beta_constraint': constraints.serialize(self.beta_constraint),
            'gamma_constraint': constraints.serialize(self.gamma_constraint),
            'mean_weights_constraints': constraints.serialize(self.mean_weights_constraints),
            'variance_weights_constraints': constraints.serialize(self.variance_weights_constraints),
        }
        base_config = super(SwitchNormalization, self).get_config()
        return dict(list(base_config.items()) + list(config.items()))

開發者ID:titu1994，項目名稱:keras-switchnorm，代碼行數:26，代碼來源:switchnorm.py

示例11: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers 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12: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers 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13: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers 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14: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers import serialize [as 別名]
def get_config(self):
        config = {
            'epsilon': self.epsilon,
            'axis': self.axis,
            'center': self.center,
            'scale': self.scale,
            'momentum': self.momentum,
            'gamma_regularizer': initializers.serialize(self.gamma_regularizer),
            'beta_regularizer': initializers.serialize(self.beta_regularizer),
            'moving_mean_initializer': initializers.serialize(
                self.moving_mean_initializer),
            'moving_variance_initializer': initializers.serialize(
                self.moving_variance_initializer),
            'beta_constraint': constraints.serialize(self.beta_constraint),
            'gamma_constraint': constraints.serialize(self.gamma_constraint),
            'r_max_value': self.r_max_value,
            'd_max_value': self.d_max_value,
            't_delta': self.t_delta
        }
        base_config = super(BatchRenormalization, self).get_config()

        return dict(list(base_config.items()) + list(config.items()))

開發者ID:titu1994，項目名稱:BatchRenormalization，代碼行數:24，代碼來源:batch_renorm.py

示例15: get_config

# 需要導入模塊: from keras import initializers [as 別名]
# 或者: from keras.initializers 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

注：本文中的keras.initializers.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。