Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: Resnet

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Information Technology (IT), Architecture
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary building block of a ResNet architecture?
Dense block
Residual block
Inception block
VGG block
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does a ResNet block help in learning complex functions?
By reducing the number of layers
By using dropout layers
By learning identity functions
By increasing the number of parameters
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key feature of ResNet that helps in handling vanishing gradients?
Skip connections
Pooling layers
Dropout layers
Batch normalization
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What additional layer is sometimes used in ResNet to ensure compatibility of tensors?
Dense layer
Pooling layer
1x1 convolution
Dropout layer
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is transfer learning beneficial for training deep networks with limited data?
It simplifies the network architecture
It eliminates the need for validation data
It allows the use of pre-trained models
It reduces the need for data augmentation
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a common challenge when training very deep neural networks?
Too few convolutional layers
Excessive number of parameters
Insufficient number of layers
Lack of activation functions
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of pre-trained models in transfer learning?
They supply initial weights
They reduce the number of layers
They offer a different architecture
They provide a new dataset
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