Network-Intrusion-Detection
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Data dimension problem
In the CNN model, the data is reshaped into (TrainX.shape[0], trainX.shape[1],1). How to understand this place, what does the 1 in the third dimension represent?
Here, the data is converted into 3 dimension (tensor format)