Q1medium
Which mechanism allows a Transformer model to relate different words in a sentence, even if they are far apart (e.g., "The cat ... [10 words] ... it was hungry")?
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10 Questions Total
Advanced Deep Learning MCQs
Topic-wise practice questions for Artificial Intelligence & Machine Learning. Test your knowledge, check solutions on demand, and pace your preparation.
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Practice in Timed ModeQ2hard
What is a GAN (Generative Adversarial Network)?
Q3easy
What is the primary role of the Convolutional Layer in a CNN?
Q4easy
In an RNN, what is the problem of Vanishing Gradients?
Q5medium
Why are Transformers significantly faster to train than RNNs?
cnn_layers.py
model.add(MaxPooling2D(pool_size=(2, 2)))
Q6medium
Which architectural pattern describes the current state-of-the-art for most modern Language Models (LLMs)?
Q7easy
What is the purpose of the Max-Pooling layer in a CNN?
Q8easy
What is a Residual Connection (ResNet)?
Q9easy
In an LSTM, what does the "Forget Gate" do?
Q10easy
What is the purpose of Positional Encoding in a Transformer?