Artificial Intelligence & Machine Learning

Deep Learning Intermediate Challenge: 8 Key Questions

Put your intermediate deep learning knowledge to the test across neural models, training methods, and advanced concepts with these targeted questions.

#deep learning#neural networks#backpropagation#convolutional nets#regularization#optimizers#recurrent nets#architectures

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Total Questions

Difficulty Level

medium

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Quiz Questions

Answer all questions below and test your knowledge.

1
What is the main role of batch normalization in deep neural networks?
Question 1
2
In convolutional neural networks, what does a 1x1 convolution primarily achieve?
Question 2
3
Which technique addresses the vanishing gradient problem in recurrent neural networks?
Question 3
4
What does the exploding gradient problem refer to during backpropagation?
Question 4
5
In transfer learning, what is typically frozen during fine-tuning?
Question 5
6
Which optimizer adapts learning rates per parameter using momentum and RMSProp?
Question 6
7
What is the purpose of residual connections in ResNet architectures?
Question 7
8
In generative adversarial networks, what does the discriminator learn to do?
Question 8