2026

Artificial Intelligence & Machine Learning

Deep Learning Knowledge Check – Medium Level

Eight multiple‑choice items covering core deep learning ideas and practices.

#deep learning#neural networks#optimization#AI fundamentals#backpropagation#model evaluation#RNN#CNN

Quiz Intelligence

Total Questions

8

Difficulty Level

medium

Progress

0/0

0%

Quiz Questions

Answer all questions below and test your knowledge.

1
Which activation function outputs values between 0 and 1 and is commonly used in binary classification layers?
Question 1
2
In a convolutional neural network, what operation reduces the spatial dimensions of feature maps while retaining the most salient information?
Question 2
3
What term describes the gradient‑based method that updates weights by moving opposite to the loss gradient?
Question 3
4
Which recurrent architecture mitigates the vanishing gradient problem by using gated units?
Question 4
5
When training a deep model, which technique adds a penalty proportional to the square of the weights?
Question 5
6
In transfer learning, what is the typical first step before fine‑tuning on a new dataset?
Question 6
7
Which loss function is appropriate for multi‑class classification with mutually exclusive categories?
Question 7
8
What does the term 'epoch' refer to in the context of neural network training?
Question 8

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Deep Learning Knowledge Check – Medium Level

Quiz Intelligence

Quiz Questions

Which activation function outputs values between 0 and 1 and is commonly used in binary classification layers?

In a convolutional neural network, what operation reduces the spatial dimensions of feature maps while retaining the most salient information?

What term describes the gradient‑based method that updates weights by moving opposite to the loss gradient?

Which recurrent architecture mitigates the vanishing gradient problem by using gated units?

When training a deep model, which technique adds a penalty proportional to the square of the weights?

In transfer learning, what is the typical first step before fine‑tuning on a new dataset?

Which loss function is appropriate for multi‑class classification with mutually exclusive categories?

What does the term 'epoch' refer to in the context of neural network training?