WEEK 9 FYP2: Understanding the architectural of Neural Networks

📔Explain the data tabulated

The data is being divided into 3 parts which is 70% for training, 15% for validation and 15% for testing. The performance of the training data can be observed by looking at the cross entropy performance in the neural networks window. 

The system achieved the better performance with it's value is near 0.00

Epoch = represent the number of iterations of the training data. 

After finish the process of detection, the classification process of training by ANN is applied to verify the validity purposed operation of detection. The benefits of training the data includes, it will be easier for the system to provide the correct output to the input. With this system, the documentation can be done specifically and the diagnosed/prognosed steps can be done faster.