Building the Neural Network — Important Questions
ICSE · Class 12 · Artificial Intelligence
70 important questions from Building the Neural Network for ICSE Class 12 Artificial Intelligence, with answers. Written for the board exams 2027.
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Important Questions from Building the Neural Network
What is the role of the Flatten layer in the MNIST model?
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It transforms a 28x28 image into a 1D vector of 784 numbers.
The Flatten layer reshapes a 2D image into a 1D vector because neural networks generally need 1D vectors as input.
What is the purpose of the Dropout layer in the MNIST model?
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To reduce overfitting by randomly ignoring a fraction of neurons
Dropout randomly ignores some neurons during training, which helps reduce overfitting.
Which activation function is used in the hidden Dense layer of the simple binary classification model?
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ReLU
The hidden Dense layer uses ReLU, which adds non-linearity to help learn complex patterns.
Which activation function is used in the output layer of the binary classification example?
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Sigmoid activation
The output layer for the binary classification model uses sigmoid with one unit.
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