Recurrent Neural Networks (RNNs) Basics

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What is the primary difference between a Recurrent Neural Network (RNN) and a Feedforward Neural Network (FNN)?

Type of optimization algorithm used

Number of hidden layers

Type of activation function used

Presence of feedback loops (correct)

What is a characteristic of a fully-connected Recurrent Neural Network (FRNN)?

No feedback interconnections

Minimal feedback interconnections

Multiple feedback interconnections (correct)

Only forward connections

What is a problem associated with using Fully-Connected Recurrent Neural Networks (FRNNs)?

Stability issues (correct)

Low accuracy

High computational complexity

Slow convergence

What is the typical training method used for Fully-Connected Recurrent Neural Networks (FRNNs)?

Backpropagation (BP) algorithm Signup and view all the answers

In a Jordan network, what values are fed back into the network?

Past output values Signup and view all the answers

How many phases are there in the information processing of neural networks?

Two Signup and view all the answers

What is the primary goal of supervised learning?

To minimize error Signup and view all the answers

What is unsupervised learning also known as?

Learning without a teacher Signup and view all the answers

What is the purpose of unsupervised training?

To produce output vectors that are consistent Signup and view all the answers

What happens when a matching input pattern is not found in unsupervised learning?

A new cluster is formed Signup and view all the answers

What is reinforcement learning concerned with?

Taking actions in an environment to obtain a cumulative reward Signup and view all the answers

What is the goal of an agent in reinforcement learning?

To achieve a goal in an uncertain environment Signup and view all the answers

What is the primary goal of an artificial intelligence in a reinforcement learning situation?

To maximize the total reward Signup and view all the answers

What happens to the artificial intelligence in a reinforcement learning situation when it performs an action?

It gets either rewarded or penalized Signup and view all the answers

What is the purpose of the retrieving phase of an artificial neural network?

To apply an input to have an output from the network Signup and view all the answers

What is the significance of weights in the connections between different layers of a neural network?

They contain information about the input signal Signup and view all the answers

What is represented by the weight matrix in a neural network?

The connections between different layers Signup and view all the answers

What is the purpose of adding a component x0=1 to the input vector X in a neural network?

To include bias as another weight Signup and view all the answers

What is the primary purpose of the training phase in a neural network?

To produce a consistent set of outputs for a given set of inputs Signup and view all the answers

What type of learning requires the pairing of each input vector with a target vector?

Supervised learning Signup and view all the answers

How are the network weights adjusted during the training phase?

According to an algorithm that tends to minimize the error Signup and view all the answers

What is the ultimate goal of the training phase in a neural network?

To produce a consistent set of outputs for a given set of inputs Signup and view all the answers

What is the term for the input vector paired with a target vector in supervised learning?

Training pair Signup and view all the answers

How are the input vectors applied during the training phase?

Sequentially, one at a time Signup and view all the answers