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Chapter 5: Biological vs Artificial Neural Networks

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Chapter 5: Biological vs Artificial Neural Networks

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Questions and Answers

What is the function of the input layer in a neural network?

Performing the prediction

Producing the output variables

Lying between input and output layers

Bringing in the values used for prediction (correct)

Why is it recommended to have fewer hidden layers in a neural network?

To allow for more complicated problem solving

To speed up the process of producing output (correct)

To reduce the complexity of the network

To increase the accuracy of predictions

What is the role of the output layer in a neural network?

Producing the hidden layers

Lying between input and output layers

Bringing in the values used for prediction

Producing the output variables (correct)

What are the weights and biases in an ANN?

Both weights and biases are optimised with every iteration to minimise loss or error Signup and view all the answers

How are biases different from weights in an ANN?

Biases are additional inputs to each layer, while weights contribute to the weighted sum of inputs to the neuron Signup and view all the answers

Where is the activation function usually applied in a neural network?

Mainly in the hidden and output layers Signup and view all the answers

What is the purpose of the project described in the text?

To teach a computer to recognize compliments and insults Signup and view all the answers

What should be done after clicking on the 'Projects' in the top menu bar?

Click the '+ Add a new project' button Signup and view all the answers

What are students required to add at least five examples of?

Mean statements Signup and view all the answers

Which step leads to naming the project 'Text Classification' and setting it to recognize 'text'?

Clicking on the '+ Add a new project' button Signup and view all the answers