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Question of
What is the fundamental processing unit of a neural network called?
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a) Node
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b) Neuron
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c) Processor
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d) Layer
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Question of
What is the name of the function in a neuron that determines its final output?
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a) Cost Function
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b) Optimization Function
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c) Activation Function
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d) Linear Function
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Question of
Which layer is responsible for producing the final output of a network?
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a) Input Layer
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b) Hidden Layer
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c) Output Layer
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d) Convolutional Layer
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Question of
What is the process of adjusting a neural network’s weights and biases to minimize error called?
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a) Forward Propagation
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b) Training
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c) Validation
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d) Initialization
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Question of
Which of these is a common activation function used in hidden layers?
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a) Mean Squared Error
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b) ReLU (Rectified Linear Unit)
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c) Adam
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d) Softmax
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Question of
What does “backpropagation” calculate?
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a) The final prediction of the network
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b) The gradient of the error with respect to the weights
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c) The number of layers needed
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d) The input data for the next batch
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Question of
What type of neural network is commonly used for image recognition?
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a) Recurrent Neural Network (RNN)
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b) Convolutional Neural Network (CNN)
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c) Generative Adversarial Network (GAN)
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d) Multilayer Perceptron (MLP)
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Question of
What does an epoch refer to in training?
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a) One update of the model’s weights
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b) One cycle of passing the entire dataset through the model
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c) The speed at which the model learns
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d) The final accuracy of the model
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Question of
What is the purpose of the “bias” term in a neuron?
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a) To increase the computational cost
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b) To shift the activation function for a better fit
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c) To connect different layers together
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d) To slow down the learning process
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Question of
Which function is typically used in the output layer for a multi-class classification problem?
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a) ReLU
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b) Sigmoid
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c) Tanh
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d) Softmax
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