CNN 10

What is the primary function of a Convolutional Neural Network (CNN) in scientific data analysis?

• Image recognition and classification

• Solving differential equations

• Simulating chemical reactions

• Predicting weather patterns

Which of the following is a key component of a CNN architecture?

• Convolutional layers

• Neurons

• Decision trees

• Genetic algorithms

In the context of CNNs, what does the term 'pooling' refer to?

• Reducing the dimensionality of feature maps

• Increasing the number of layers

• Enhancing the resolution of images

• Combining multiple datasets

How do CNNs typically handle overfitting in scientific models?

• Using dropout layers

• Increasing the dataset size

• Reducing the number of layers

• Applying more convolutional layers

What is a common application of CNNs in the field of biology?

• Analyzing DNA sequences

• Predicting protein structures

• Classifying cell images

• Modeling population dynamics

Which scientific field benefits from CNNs for analyzing satellite imagery?

• Astronomy

• Geology

• Meteorology

• Oceanography

Tags

NGSS.MS-ESS2-5

What role do activation functions play in CNNs?

• Introducing non-linearity

• Reducing computation time

• Increasing data size

• Simplifying the model

In CNNs, what is the purpose of using a ReLU activation function?

• To introduce non-linearity

• To normalize data

• To reduce overfitting

• To increase model complexity

Which of the following is a challenge when using CNNs for scientific data?

• High computational cost

• Lack of data

• Simple model structure

• Limited applications

How can CNNs be used in environmental science?

• Monitoring deforestation

• Predicting volcanic eruptions

• Classifying soil types

• Analyzing water quality

Tags

NGSS.HS-ESS3-5