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Hyperparameters | Value | Activation function |
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TCNN | First 1D causal convolution layer | #filters = 64, filter size = 3 | ReLU |
Second 1D causal convolution layer | #filters = 128, filter size = 3 | ReLU |
Fully connected dense layer | #neurons = 128, dropout = 0. 3 | ReLU |
Fully connected dense layer | #neurons = 5 | Softmax |
CNN | First 1D convolution layer | #filters = 64, filter size = 3 | ReLU |
Second 1D convolution layer | #filters = 128, filter size = 3 | ReLU |
Fully connected dense layer | #neurons = 128, dropout = 0. 3 | ReLU |
Fully connected dense layer | #neurons = 5 | Softmax |
LSTM | First LSTM layer | #neurons = 20, recurrent dropout = 0.2 | ReLU |
Second LSTM layer | #neurons = 20, recurrent dropout = 0.2 | ReLU |
Fully connected dense layer | #neurons = 128 | ReLU |
Fully connected dense layer | #neurons = 5 | Softmax |
Optimizer | Adam with learning rate = 0.001 | / |
Batch size | 1024 | / |
Epochs | 15 | / |
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