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Optimizer in TensorFlow QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Which optimizer is known for its ability to adaptively adjust the learning rate for each parameter?

Question: 2

What is the primary purpose of learning rate scheduling in optimization algorithms?

Question: 3

Which optimizer is known for its ability to adaptively adjust the learning rate for each parameter and is particularly useful in online and large-scale learning settings?

Question: 4

Which learning rate scheduling method decreases the learning rate following a cosine function?

Question: 5

What is the primary benefit of using momentum in optimization algorithms?

Question: 6

Which optimizer is often used as a baseline for comparison due to its simplicity?

Question: 7

Which learning rate scheduling method decreases the learning rate exponentially over time?

Question: 8

What is the main drawback of using a fixed learning rate throughout training?

Question: 9

Which optimizer is suitable for training recurrent neural networks (RNNs) due to its ability to handle sparse gradients?

Question: 10

What effect does decreasing the learning rate have on the training process?

Question: 11

In TensorFlow, which function is commonly used for adding L1 regularization to a neural network layer?

Question: 12

What effect does increasing the weight decay regularization parameter have on a neural network?

Question: 13

In TensorFlow, which function is used for applying gradient clipping to prevent gradients from becoming too large?

Question: 14

Which optimizer is typically recommended for training deep convolutional neural networks (CNNs)?

Question: 15

What is a common technique to address the issue of vanishing gradients in deep neural networks?

Question: 16

Which TensorFlow function is used for adding weight decay regularization to a neural network layer?

Question: 17

What does the learning rate scheduling technique help achieve during training?

Question: 18

Which TensorFlow module allows for learning rate scheduling?

Question: 19

Which of the following is NOT a method for learning rate scheduling in TensorFlow?

Question: 20

Which optimizer is well-suited for sparse data and natural language processing tasks?

Question: 21

In TensorFlow, what is weight decay commonly implemented as?

Question: 22

What does weight decay typically help prevent in neural networks?

Question: 23

Which optimizer is a variant of Adam that incorporates Nesterov momentum?

Question: 24

Which learning rate scheduling method decreases the learning rate over time following a polynomial function?

Question: 25

What is the primary purpose of using weight decay regularization in neural networks?

Question: 26

Which optimizer adjusts the learning rates of each parameter individually based on past gradients and squared gradients?

Question: 27

What does the "decay" parameter in some learning rate scheduling methods control?

Question: 28

Which learning rate scheduling method reduces the learning rate by a factor at regular intervals?

Question: 29

What does the learning rate represent in the context of optimization algorithms?

Question: 30

Which optimizer is known for its ability to handle non-stationary objectives and noisy gradients?