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What do activation functions do in a neural network?
What do activation functions do in a neural network?
- Decide the learning algorithm
- Limit the range of output values of a node (correct)
- Determine the neural network structure
- Control the connectivity of neurons
What determines the architecture or structure of a neural network?
What determines the architecture or structure of a neural network?
- The number of layers
- The learning algorithm
- The connectivity of neurons (nodes) (correct)
- The activation functions
What is the purpose of the least mean square algorithm in a single layer network?
What is the purpose of the least mean square algorithm in a single layer network?
- Limiting the range of output values
- Determining weights of the connections (correct)
- Optimizing the learning algorithm
- Controlling the architecture
Which type of neural network is associated with YOLO for Object Detection?
Which type of neural network is associated with YOLO for Object Detection?
What is the focus of Graph Neural Networks?
What is the focus of Graph Neural Networks?
Flashcards
What do activation functions do in a neural network?
What do activation functions do in a neural network?
Limits the output values of a neuron. It can be compared to a "brake" that prevents the output from becoming too large or too small, keeping the values within a manageable range.
What determines the architecture or structure of a neural network?
What determines the architecture or structure of a neural network?
The arrangement of neurons and how they're connected determine the network's structure. It's like the "blueprint" of a neural network.
What is the purpose of the least mean square algorithm in a single layer network?
What is the purpose of the least mean square algorithm in a single layer network?
It's used to fine-tune the weights connecting neurons in a single layer network. Think of it as optimizing the connections for better prediction.
Which type of neural network is associated with YOLO for Object Detection?
Which type of neural network is associated with YOLO for Object Detection?
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What is the focus of Graph Neural Networks?
What is the focus of Graph Neural Networks?
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