Train/Validation split
Import Dataset (folders Train/test)
append list
Load the labels , Image pre-processing
labelencoder() and one-hot img
model
Sequential
CNN model
MaxPooling
Dropout
Flatten
summary()
Train
compile
fit
Result
evaluate()
predict_classes()
crosstab()
heatmap
Use another img to test….. one by one
Use Digraph to plot the path flow from python
script code
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2 epoches
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Img mistaken cause by Train epoches , dataset
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