MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
If we want to create a model of neural network that can identify whether you are wearing a mask or no, what is the ideal number of output that we should create?
A
1
B
2
C
3
D
None of the above
Explanation: 

Detailed explanation-1: –The output layer is the final layer in the neural network where desired predictions are obtained. There is one output layer in a neural network that produces the desired final prediction. It has its own set of weights and biases that are applied before the final output is derived.

Detailed explanation-2: -The results confirmed that MobileNet achieves better performance over the KNN and SVM. The significance of deep learning in computer vision has motivated the researchers to use it for face mask detection.

Detailed explanation-3: -The leading architecture used for image recognition and detection tasks is Convolutional Neural Networks (CNNs). Convolutional neural networks consist of several layers with small neuron collections, each of them perceiving small parts of an image.

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