Advanced Deep Learning: Rigorous Expert Test

Dive into complex deep learning topics with these 10 challenging multiple-choice questions designed for professionals.

#deep learning#transformers#backpropagation#generative models#convolutional nets#GANs#attention mechanisms#optimizers#recurrent nets#LSTMs

Total Questions

10

Difficulty Level

hard

Progress

0/0

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Quiz Questions

Answer all questions below and test your knowledge.

1
In the Transformer architecture, self-attention computes attention scores using which matrix multiplication?
Question 1
2
What is the primary role of the forget gate in an LSTM cell?
Question 2
3
In GANs, the minimax loss formulation is designed such that the generator tries to
Question 3
4
Batch Normalization normalizes activations across which dimension primarily?
Question 4
5
The Adam optimizer adapts learning rates using which first and second moment estimates?
Question 5
6
In ResNet, skip connections mitigate the vanishing gradient by
Question 6
7
Scaled Dot-Product Attention in transformers scales by 1/sqrt(d_k) to prevent
Question 7
8
In VAEs, the loss includes KL divergence to enforce what on the latent distribution?
Question 8
9
Layer Normalization differs from Batch Norm by normalizing over
Question 9
10
Gradient clipping in RNN training primarily addresses
Question 10