keras-tcn:Keras时间卷积网络-源码

上传者: 42144199 | 上传时间: 2021-09-19 15:45:09 | 文件大小: 2.65MB | 文件类型: ZIP
Keras TCN 与所有主要/最新的Tensorflow版本(从1.14到2.4.0+)兼容。 pip install keras-tcn Keras时间卷积网络。 [] 为什么选择时间卷积网络? 与具有相同容量的循环体系结构相比,TCN具有更长的内存。 在各种任务(序列MNIST,添加问题,复制内存,字级PTB ...)上,其性能始终优于LSTM / GRU体系结构。 平行度,灵活的接收场大小,稳定的梯度,训练所需的低内存,可变长度的输入... 放大的因果卷积层堆栈的可视化(Wavenet,2016) API 通常的方法是导入TCN层,并在Keras模型中使用它。 下面提供了一个回归任务的示例(对于其他示例,请参阅tasks/ ): from tensorflow . keras . layers import Dense from tensorflow . keras import Input , Model from tcn import TCN , tcn_full_summary batch_size , timesteps , input_dim = No

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