Reference no: EM133055262
Project for Convolutional Neural Network (CNN)
Use any one of the image database attached below
Requirements:
1) Use 70% data for training and 30% data for testing/validation
2) Calculate Accuracy (ACC) defined as
ACC=(TP+TN)/(P+N)
Where TP=True Positive, TN=True Negative, P=Positive, N=Negative
3) Calculate Sensitivity (Sens) defined as
Sens=TP/P
4) Calculate Specificity (Spec) defined as
Spec=TN/N
5) Plot the results for Accuracy and Loss function
6) Calculate the Confusion Matrix. As an example for 4 classes,it looks like (TC=True Class, PC=Predicted Class)
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PC1
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PC2
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PC3
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PC4
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TC1
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TC2
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TC3
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TC4
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Attachment:- Convolutional Neural Network.rar