- Collect a training dataset of gadgets and place it under datasets. Two datasets are available in the datasets folder, and they are of this form:

- Train and test the deep learning model on your dataset.
This is accomplished by running the following command:
python vuldeepecker_train.py "path to dataset"
The output is displayed in the following screenshot:

- Collect the dataset you would like to predict on and place it under datasets:
- Use your trained model to predict whether these are vulnerable pieces of code by running ...