Advances, Systems and Applications
From: Categorizing Malware via A Word2Vec-based Temporal Convolutional Network Scheme
Parameter | TCN | LSTM |
---|---|---|
max sequence length | 600 | 600 |
batch size | 64 | 64 |
learning rate | 1e-3 | 1e-3 |
embedding size | 300 | 300 |
number of layers | 1 | 2 |
dropout rate | 0.5 | 0.2 |
hidden layer neuron | - | 128 |
number of filters | 32 | - |
number of stacks | 1 | - |
dilations | 20,…,28 | - |
kernel size | 10 | - |