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Questions and Answers
Which of the following is true about artificial neural networks?
Which of the following is true about artificial neural networks?
What is the acceptable range of output for an artificial neural network?
What is the acceptable range of output for an artificial neural network?
What is the purpose of an activation function in an artificial neural network?
What is the purpose of an activation function in an artificial neural network?
What does a positive weight in an artificial neural network indicate?
What does a positive weight in an artificial neural network indicate?
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What can artificial neural networks be trained via?
What can artificial neural networks be trained via?
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Study Notes
Artificial Neural Networks
- Artificial neural networks can be trained via supervised learning, unsupervised learning, and reinforcement learning.
- The acceptable range of output for an artificial neural network is typically between 0 and 1.
- The purpose of an activation function in an artificial neural network is to introduce non-linearity into the model, allowing it to learn more complex relationships between inputs and outputs.
- A positive weight in an artificial neural network indicates an excitatory connection, meaning the input increases the likelihood of the neuron firing.
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Description
Test your knowledge on neural networks, their applications in artificial intelligence, and the concept of weights between nodes. Challenge yourself with this quiz and learn more about the fascinating world of artificial and biological neural networks.
