Introduction to Artificial Neural Networks (ANNs)
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Questions and Answers

What is the role of Artificial Neural Networks (ANNs)?

  • To develop programs for recognizing hand-written text
  • To mimic the training activities of the human nerve system (correct)
  • To train the human brain in recognizing faces
  • To replace the human brain in performing advanced operations

    • Why is it difficult to develop a program for recognizing faces or hand-written text?

  • Because there are no examples available for training
  • Because ANNs are not efficient in recognizing faces or hand-written text
  • Because it is hard to exactly understand how the brain internally performs these tasks (correct)
  • Because the human brain contains billions of interconnected neurons

    • What is the average number of synapses through which each neuron is connected to other neurons in the human brain?

  • 100
  • 1,000
  • 10,000 (correct)
  • 100,000

    • What does a well-trained ANN have the ability to do?

    <p>Yield correct results for new unknown problem instances</p> Signup and view all the answers

    What is the main function of the Biological Neuron?

    <p>To process information in the human brain</p> Signup and view all the answers

    What is the purpose of developing a program for hand-writing recognition?

    <p>To develop a program that tells what makes a 2</p> Signup and view all the answers

    What are the two fundamental components of biological neural networks?

    <p>Neurons (nodes) and synapses (weights)</p> Signup and view all the answers

    What happens when a neuron receives excitatory input that is sufficiently large compared with its inhibitory input?

    <p>It sends a spike of electrical activity down its axon</p> Signup and view all the answers

    What is the function of squashing/activation function in a neuron model?

    <p>To limit the output of the neuron</p> Signup and view all the answers

    In a neural network, what modifies the strength of each input at each neuron?

    <p>Weights</p> Signup and view all the answers

    What does the activity of the hidden units in a neural network depend on?

    <p>The weights on the connections between the input and hidden units</p> Signup and view all the answers

    What type of processing unit is each neuron within a neural network usually?

    <p>Simple processing unit</p> Signup and view all the answers

    What does an artificial neural network (ANN) require for neural computing?

    <p>Highly interconnected processing elements</p> Signup and view all the answers

    In what way do artificial neural networks (ANNs) learn from experience?

    <p>By example</p> Signup and view all the answers

    What represents the raw information fed into a neural network?

    <p>Activity of input units</p> Signup and view all the answers

    In what way are neurons arranged in a neural network?

    <p>In layers</p> Signup and view all the answers

    What is the main purpose of Artificial Neural Networks (ANNs) according to the text?

    <p>To replicate the human brain's ability to recognize patterns and perform advanced operations</p> Signup and view all the answers

    What is the role of ANNs in recognizing faces or hand-written text as mentioned in the text?

    <p>Mimicking the training activities internally done by the Nerve System inside the human brain</p> Signup and view all the answers

    What does the text say about the number of synapses through which each neuron is connected to other neurons in the human brain?

    <p>On average, each neuron is connected to other neurons through about 10,000 synapses</p> Signup and view all the answers

    What does a well-trained Artificial Neural Network (ANN) have the ability to do based on the text?

    <p>Yield correct results for new unknown problem instances</p> Signup and view all the answers

    What represents the raw information fed into a neural network according to the text?

    <p>The excitatory input received by each neuron</p> Signup and view all the answers

    What is the function of squashing/activation function in a neuron model as mentioned in the text?

    <p>To determine if a neuron will fire or not based on its input</p> Signup and view all the answers

    What is the function of the activation function in a neuron model?

    <p>It limits the node output</p> Signup and view all the answers

    What does a well-trained Artificial Neural Network (ANN) have the ability to do based on the text?

    <p>Recognize faces and hand-written text</p> Signup and view all the answers

    What represents the raw information fed into a neural network according to the text?

    <p>The activities of the input units</p> Signup and view all the answers

    What does the activity of the hidden units in a neural network depend on?

    <p>The activities of the input units and the weights on the connections</p> Signup and view all the answers

    What does an artificial neural network (ANN) require for neural computing, according to the text?

    <p>Many simple processing elements</p> Signup and view all the answers

    What is the main function of the Biological Neuron as mentioned in the text?

    <p>To receive, process, and transmit information</p> Signup and view all the answers

    What is the role of Artificial Neural Networks (ANNs) according to the text?

    <p>To recognize faces and hand-written text</p> Signup and view all the answers

    What happens when a neuron receives excitatory input that is sufficiently large compared with its inhibitory input?

    <p>It sends a spike of electrical activity down its axon</p> Signup and view all the answers

    What does the text say about the number of synapses through which each neuron is connected to other neurons in the human brain?

    <p>It mentions an average number of synapses.</p> Signup and view all the answers

    What represents an important aspect of neural computing based on information provided?

    <p>The ability to acquire, store, and utilize experiential knowledge.</p> Signup and view all the answers

    Study Notes

    Biological Neurons and Artificial Neural Networks (ANNs)

    • The main function of the Biological Neuron is to process and transmit information.
    • Each neuron in the human brain is connected to other neurons through an average of 7,000 synapses.
    • The two fundamental components of biological neural networks are neurons and synapses.

    Artificial Neural Networks (ANNs)

    • The main purpose of Artificial Neural Networks (ANNs) is to recognize patterns in data and make decisions based on that data.
    • ANNs are particularly useful for recognizing faces or hand-written text, which are difficult tasks due to the complexity and variability of the data.
    • A well-trained ANN has the ability to learn from experience and make accurate predictions or decisions.

    Neural Network Components

    • In a neural network, each neuron is a processing unit that receives input, performs a computation, and sends the output to other neurons.
    • The strength of each input at each neuron is modified by weights.
    • The activity of the hidden units in a neural network depends on the inputs and weights.

    Neuron Model

    • The function of the squashing or activation function in a neuron model is to introduce non-linearity into the output of the neuron.
    • The activation function determines the output of a neuron based on the input it receives.

    Neural Computing

    • An artificial neural network (ANN) requires a large amount of data and computing power for neural computing.
    • ANNs learn from experience through a process of iterative refinement, where the weights and biases are adjusted based on the error between the predicted output and the actual output.
    • The raw information fed into a neural network is called input data.
    • In a neural network, neurons are arranged in layers, with each layer processing the input data in a hierarchical manner.

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    Description

    Learn about the basics of Artificial Neural Networks (ANNs) and why they are needed for advanced operations like face recognition and hand-writing recognition. Explore the concept of internal brain operations and the process of training and practice to perform complex tasks.

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