Tfa.layers.ESN 示例

Question

有没有人有一个实施每个状态网络的工作示例 Tfa.layers.ESN.

目前，我有以下模型

Model: "model"
_________________________________________________________________
Layer (type)                 Output Shape              Param #   
_________________________________________________________________
digits (InputLayer)          [(None, 41, 4)]           0         
_________________________________________________________________
ESN                          (None, 41, 242)           30492     
_________________________________________________________________
flatten (Flatten)            (None, 9922)              0         
_________________________________________________________________
predictions (Dense)          (None, 2)                 19846  
_________________________________________________________________   
Total params: 50,338
Trainable params: 19,846
Non-trainable params: 30,492
_________________________________________________________________

我遇到的问题是，一旦增加隐藏单元的数量，在训练和测试数据集中，模型的准确性就会下降而不是增加。而且，我得到的准确率非常低。