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CSCI417/ECEN425: Machine Intelligence-2025SPRG-LECT-01

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If a batch has 30 samples and the model runs for 15 epochs on a dataset of 30000 samples, how many total weight updates are performed?
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Which of the following best explains the purpose of an activation function in a neural network?
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A Conv2D layer has 12 filters of size (3,3), input channels are 3. How many parameters does this layer have (including biases)?
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A network with 2 input neurons, 1 hidden layer with 2 neurons, and 1 output neuron has how many total weights and biases?
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A Conv2D layer has 20 filters of size (3,3), input channels are 3. How many parameters does this layer have (including biases)?
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What is the output shape of a Conv2D layer with 32 filters, kernel size (3,3), stride (1,1), and input shape (64,64,3), assuming "same" padding?
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What is the output shape of a Conv2D layer with 64 filters, kernel size (5,5), stride (1,1), and input shape (128,128,3), assuming "same" padding?
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A network has 3 input neurons, a hidden layer with 6 neurons, and an output layer with 2 neurons. How many total weights and biases are there?
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In CNNs, the number of parameters in a Conv2D layer depends on:
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which of the following models got the best accuracy?
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