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12 Questions

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Perceptron Weight Training Steps

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Questions and Answers

What is the major difference between Hopfield Neural Network and Bidirectional Associative Memory (BAM) based on the given text?

Hopfield is used for linearly separable functions, while BAM is used for non-linearly separable functions.

Hopfield is autoassociative, while BAM is heteroassociative. (correct)

Hopfield only involves testing and retrieval steps, while BAM only involves storage and testing steps.

Hopfield uses a single step process for retrieval, while BAM uses a multi-step process.

What is the major difference between the activation functions used in perceptron and BPNN?

Perceptron uses soft activation functions, while BPNN uses hard limiters

Perceptron uses hard limiters as its activation function, while BPNN uses soft activation functions (correct)

Perceptron uses the sigmoid function, while BPNN uses the tanh function

Perceptron uses the tanh function, while BPNN uses the relu function

Which step is unique to the backpropagation (BPNN) process and is not present in the perceptron weight training process?

Weight initialization

Activation of the network

Updating the weights by calculating the error

Calculating the error at the output layer and hidden layer (correct)

In Hopfield Neural Network, what is the purpose of the 'Storage' step?

To store the memory of fundamental input by calculating the weight matrix. Signup and view all the answers

Which type of neuron has a hidden layer, as described in the text?

Artificial neuron Signup and view all the answers

What type of function can Bidirectional Associative Memory (BAM) recall based on the given text?

Linearly separable function Signup and view all the answers

What is the purpose of the 'Retrieval' step in Bidirectional Associative Memory (BAM)?

To test the network's recall by presenting unknown memories. Signup and view all the answers

What is the purpose of the iteration step in both perceptron and backpropagation (BPNN) processes?

Producing the network output Signup and view all the answers

What is the main function of an autoassociative memory?

Retrieving a piece of data from only a tiny sample of itself Signup and view all the answers

In a Hebbian network, what happens to the weight of a connection if two neurons on either side are activated synchronously?

The weight of the connection is increased Signup and view all the answers

What is the key difference between Hopfield and BAM networks?

Hopfield is single layer, while BAM is two layer Signup and view all the answers

What are the major steps involved in perceptron learning?

Initialization, Activation, Weight training, Iteration Signup and view all the answers