Welcome to the Deep Learning Medium Level Quiz 6! 🧠
This quiz will test your knowledge on more advanced deep learning topics, including GANs, reinforcement learning, attention mechanisms, and latent spaces. Let’s see how well you grasp these intermediate to advanced concepts!

Deep Learning Medium Quiz 6

This medium-level quiz consists of 10 questions covering advanced topics in deep learning, including Seq2Seq models, reinforcement learning, attention mechanisms, GANs, and more. This quiz is designed to deepen your understanding of more complex concepts in deep learning.

1 / 10

The goal of policy gradient methods in reinforcement learning is to directly optimize the policy by maximizing the expected reward.

2 / 10

What is the primary role of the decoder in a Seq2Seq (Sequence to Sequence) model?

3 / 10

What is the key difference between weight sharing in Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)?

4 / 10

Which of the following is NOT a loss function typically used for regression tasks?

5 / 10

Which of the following techniques is used to handle class imbalance in a classification task?

6 / 10

Autoencoders are primarily used for supervised learning tasks

7 / 10

What does the term 'latent space' refer to in deep learning models such as VAEs (Variational Autoencoders) and GANs?

8 / 10

Which of the following is a common use case of the Attention mechanism in deep learning models?

9 / 10

Which of the following statements is true about deep Q-networks (DQNs) in reinforcement learning?

10 / 10

In the context of GANs (Generative Adversarial Networks), what is the purpose of the discriminator?

Your score is

The average score is 0%

0%

Leave a Reply