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What is the purpose of a neural network?
What is the purpose of a neural network?
- To relate inputs to desired outputs by modifying the strengths of connections (correct)
- To create linear systems for modeling
- To classify images in medical imaging
- To interpret complex data patterns
What is the key characteristic of a multi-layer perceptron (MLP)?
What is the key characteristic of a multi-layer perceptron (MLP)?
- It is only used for unsupervised learning
- It has at least 3 layers: input, hidden, and output (correct)
- It can only have 2 hidden layers
- It uses a linear activation function for each node
What is the purpose of backpropagation in a multi-layer perceptron?
What is the purpose of backpropagation in a multi-layer perceptron?
- To calculate the maximum number of neurons in each layer
- To learn by changing weight values using gradient descent (correct)
- To determine the number of hidden layers in the network
- To initialize the weights of the neural network
Why is it important for the activation function in a multi-layer perceptron to be derivable?
Why is it important for the activation function in a multi-layer perceptron to be derivable?
What distinguishes deep neural networks from other neural networks?
What distinguishes deep neural networks from other neural networks?
What is the maximum number of hidden layers that was proven to be effective when using sigmoid activation functions in a multi-layer perceptron?
What is the maximum number of hidden layers that was proven to be effective when using sigmoid activation functions in a multi-layer perceptron?
What type of learning algorithm is a perceptron?
What type of learning algorithm is a perceptron?
What is the purpose of backpropagation in a multi-layer perceptron?
What is the purpose of backpropagation in a multi-layer perceptron?
What type of systems are neural networks best used for modeling?
What type of systems are neural networks best used for modeling?
What distinguishes deep neural networks from other neural networks?
What distinguishes deep neural networks from other neural networks?
What is the purpose of a multi-layer perceptron (MLP)?
What is the purpose of a multi-layer perceptron (MLP)?
What does the activation function in a multi-layer perceptron (MLP) need to be?
What does the activation function in a multi-layer perceptron (MLP) need to be?
How is the new weight value determined in a multi-layer perceptron (MLP) using backpropagation?
How is the new weight value determined in a multi-layer perceptron (MLP) using backpropagation?
What distinguishes deep neural networks from other neural networks?
What distinguishes deep neural networks from other neural networks?
What type of learning algorithm is a perceptron?
What type of learning algorithm is a perceptron?
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