Read the below passage and answer the questions. Artificial Neural Networks…
2024
Read the below passage and answer the questions.
Artificial Neural Networks (ANNs) are computational models inspired by the human brain's neural networks. They consist of inter-connected nodes, or neurons, organized into layers: an input layer, one or more hidden layers, and an output layer. Each connection between neurons has a weight that adjusts as learning progresses, allowing the network to adapt and improve its performance. ANNs are particularly effective in recognizing patterns, making them valuable for tasks such as image and speech recognition, Natural language processing, and predictive analytics. Learning in ANNs typically involves training algorithms like backpropagation, which minimize the error by adjusting the weights. As a subset of machine learning, ANNs have revolutionized the field of Artificial Intelligence by providing solutions to complex problems that traditional algorithms struggle with.
Which of the following layers may be more than one in number?
- A.
Input layer
- B.
Hidden layer
- C.
Output layer
- D.
Physical layer
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Correct answer: B
Answer: Hidden layer
Brief explanation:
Hidden layers are the layers between the input and output layers. A network can have one or many hidden layers; multiple hidden layers are common in deep learning.
Input and output are typically single layers in the architecture: the input layer receives features and the output layer produces final predictions (though each can contain multiple neurons).
The term "physical layer" is not part of ANN architecture and is unrelated to neural network layer types.
Example: A deep neural network might have 3 hidden layers to learn progressively higher-level features from the input.