MCQ IN COMPUTER SCIENCE & ENGINEERING

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COMPUTER SCIENCE AND ENGINEERING

MACHINE LEARNING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Convolutional Neural Network (CNN) for an image classification task has the following operations.1. Max Pooling2. Convolution Operation3. Flatten4. Fully connected layerIdentify the correct sequence from the option below:
A
4, 3, 2, 1
B
2, 1, 3, 4
C
3, 1, 2, 4
D
4, 2, 1, 3
Explanation: 

Detailed explanation-1: -Step 1: Convolution. Step 1b: ReLU Layer. Step 2: Pooling. Step 3: Flattening.

Detailed explanation-2: -Input image (starting point) Convolutional layer (convolution operation) Pooling layer (pooling) Input layer for the artificial neural network (flattening)

Detailed explanation-3: -What is Max Pooling? Pooling is a feature commonly imbibed into Convolutional Neural Network (CNN) architectures. The main idea behind a pooling layer is to “accumulate” features from maps generated by convolving a filter over an image.

Detailed explanation-4: -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.

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