请用python编写在tensorflow框架下的tcn与注意力机制融合进行预测回归的代码

作者：不正经 | 2024-03-30 03:40:21

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tcn tensorflow实现

下面是一个完整的代码实现，使用了 TensorFlow 2.x 实现了一个简单的带有注意力机制的 Temporal Convolutional Network(TCN)进行回归预测：

``` import tensorflow as tf from tensorflow.keras.layers import Input, Conv1D, Dense, Dropout, Activation, Add, GlobalMaxPool1D from tensorflow.keras.models import Model from tensorflow.keras.optimizers import Adam

class TCN(Model): def init(self, num_channels, kernel_size, dropout): super(TCN, self).init() self.num_channels = num_channels self.kernel_size = kernel_size self.dropout = dropout self.conv1 = Conv1D(self.num_channels, self.kernel_size, padding='causal', activation='relu') self.dropout1 = Dropout(self.dropout) self.conv2 = Conv1D(self.num_channels, self.kernel_size, padding='causal', activation='relu') self.dropout2 = Dropout(se

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