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Questions and Answers
What is the function of the input layer in a neural network?
What is the function of the input layer in a neural network?
- It performs machine learning algorithms
- It passes processed data to the output layer
- It acquires data and feeds it to the network (correct)
- It processes data and passes it to the next layer
What is the purpose of hidden layers in a neural network?
What is the purpose of hidden layers in a neural network?
- To connect input and output layers
- To perform tasks and pass data to the next layer (correct)
- To model the human brain and nervous system
- To extract data without user input
What are the components of a node in a neural network?
What are the components of a node in a neural network?
- Input layer, hidden layer, and output layer
- Neural network modeling and large data sets
- Machine learning algorithms, data extraction, and user input
- Input connections, transfer function, and output connection (correct)
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Study Notes
- Neural networks have layers of nodes that perform tasks and pass data to the next layer
- Input layer acquires data and feeds it to the network
- Hidden layers have their own machine learning algorithms
- Last hidden layer passes processed data to output layer
- NN systems model human brain and nervous system
- NN can extract data without user input
- Every node is a machine learning algorithm
- Useful for large data sets
- Node has weighted input connections, transfer function, and output connection
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