Deep learning is a subset of machine learning, focusing on algorithms inspired by the structure and function of the human brain, known as artificial neural networks. In deep learning, models are built with multiple layers of neurons, creating a hierarchy of features from the raw input data.

Deep Learning Advanced Quiz 7

Deep learning is a subset of machine learning, focusing on algorithms inspired by the structure and function of the human brain, known as artificial neural networks. In deep learning, models are built with multiple layers of neurons, creating a hierarchy of features from the raw input data.

1 / 10

Which technique is often used to stabilize the training of deep reinforcement learning agents?

2 / 10

In Transformer models, what does the "Self-Attention" mechanism help capture?

3 / 10

What is the primary purpose of using a residual connection in deep neural networks?

4 / 10

Which of the following is NOT a common loss function for training GANs?

5 / 10

The concept of "attention" in deep learning was introduced primarily to handle which of the following challenges?

6 / 10

Which of the following techniques is commonly used to prevent overfitting in deep learning models?

7 / 10

What is the main advantage of using Batch Normalization in deep neural networks?

8 / 10

Which type of RNN is best suited for machine translation tasks?

9 / 10

In a Convolutional Neural Network (CNN), what is the primary purpose of the pooling layer?

10 / 10

Which of the following activation functions is most likely to suffer from the vanishing gradient problem?

Your score is

The average score is 10%

0%

Leave a Reply