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-rw-r--r-- | dga/README.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/dga/README.md b/dga/README.md index a999a067e..1ea4323f9 100644 --- a/dga/README.md +++ b/dga/README.md @@ -1,8 +1,8 @@ # Overview -This folder contains training and inference scripts for two models based on different technologies: MLP (multi-layer perceptron) using scikit-learn and an LSTM-based neural network using TensorFlow. Each model has its own folder with its own training and testing scripts. +This folder contains training and inference scripts for two models based on different technologies: MLP (multi-layer perceptron) using scikit-learn and an LSTM-based neural network using TensorFlow. Each model has its own folder with training and testing scripts. Developers interested in DGA detection in nDPI should also visit [this folder](../tests/dga) containing the original ML implementation. -The test scripts are only intended to show how to use an already trained model. +The test scripts only show how to use an already-trained model. ## Requirements @@ -52,4 +52,4 @@ Once training is complete, you can run inference on the test set with ```bash python tensorflow_tests/test_script.py -```
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