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WorksheetsRecap Deep Learning CNN
Total questions: 8
Worksheet time: 5mins
An image histogram represents:
The distribution of pixel intensities
The overall resolution of the image
The number of colors used in the image
The brightness of the image
For an image recognition problem (recognizing the type of defect on a microcontroller), which architecture of neural network would be better suited to solve the problem?
Multi Layer Perceptron
Convolutional Neural Network
Recurrent Neural network
Perceptron
Which of the following is a data augmentation technique used in image recognition tasks?
Horizontal flipping
Random cropping
Random scaling
Color jittering
In Transfer Learning, when fine-tuning a pre-trained model, which layer is typically trained while keeping the rest frozen?
The input layer
The convolutional layers
The fully connected layers
The activation layers
Which of the following CNN architectures is considered one of the state-of-the-art models for image classification tasks due to its deep layers and efficiency?
LeNet-5
AlexNet
VGGNet
ResNet
What is the key advantage of single-stage object detection models compared to two-stage
models?
Two-stage models require less training data
Single-stage models are faster
Single-stage models are more accurate
Two-stage models are more robust to occlusion
Which of the following options can be used to reduce overfitting in deep learning models?
Add more data
Use architecture that generalizes well
Add regularization
Increase architectural complexity
Why are activation functions used in neural networks?
To introduce non-linearity into the model
To increase the size of the input data
To normalize the output to zero
To make the model linear and simple
