Seaborn heatmap size of cells
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МІНІСТЕРСТВО ОХОРОНИ ЗДОРОВ’Я УКРАЇНИ. ЗАПОРІЗЬКИЙ ДЕРЖАВНИЙ МЕДИЧНИЙ УНІВЕРСИТЕТ
Acknowledgement
This stack is defined as a mix of Conv2D, MaxPooling2D and Flatten objects. The Conv2D object applies the convolution operation with 3x3 kernel size, 1x1 strides, same padding, and uses ReLU activation function in the output. The MaxPooling2D object applies the max pooling operation to the data with 2x2 pool size.
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The main limitation of this experiment was size of the dataset. Particularly, the relatively small number of malicious URLs can be caused by the poor FP rate of the classifier.
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