MACHINE LEARNING

APPLICATION OF SUPERVISED LEARNING

DEEP LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
For an image recognition problem (recognizing a cat in a photo), which architecture of neural network would be better suited to solve the problem?
A
Multi Layer Perceptron
B
Convolutional Neural Network
C
Recurrent Neural network
D
Perceptron
Explanation: 

Detailed explanation-1: -Thus the correct answer to the question asked is ( c ) Convolutional neural network.

Detailed explanation-2: -A CNN is a kind of network architecture for deep learning algorithms and is specifically used for image recognition and tasks that involve the processing of pixel data. There are other types of neural networks in deep learning, but for identifying and recognizing objects, CNNs are the network architecture of choice.

Detailed explanation-3: -Convolutional Neural Networks It is mainly supervised by people, first when it comes to delivering the set of the reference images, to training the machine into distinguishing the objects and testing the method. CNN is a specific model architecture from Deep Learning techniques.

There is 1 question to complete.