MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

NEURAL NETWORK

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
We can directly pass the matrix representation of a color image as an input of the deep neural network
A
True
B
False
C
Either A or B
D
None of the above
Explanation: 

Detailed explanation-1: -The correct answer is c. They process several sequences of information simultaneously.

Detailed explanation-2: -The Convolutional Neural Network (CNN or ConvNet) is a subtype of Neural Networks that is mainly used for applications in image and speech recognition. Its built-in convolutional layer reduces the high dimensionality of images without losing its information. That is why CNNs are especially suited for this use case.

Detailed explanation-3: -The machine will basically break this image into a matrix of pixels and store the color code for each pixel at the representative location.

Detailed explanation-4: -The input fed to the activation function is compared to a certain threshold; if the input is greater than it, then the neuron is activated, else it is deactivated, meaning that its output is not passed on to the next hidden layer.

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