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Google Professional Machine Learning Engineer Exam - Topic 4 Question 34 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 34
Topic #: 4
[All Professional Machine Learning Engineer Questions]

During batch training of a neural network, you notice that there is an oscillation in the loss. How should you adjust your model to ensure that it converges?

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Suggested Answer: C

by Jettie at May 05, 2022, 11:31 AM

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Art
4 months ago
I disagree, increasing the learning rate seems counterintuitive!
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Ronny
4 months ago
Wait, can decreasing the batch size really make a difference?
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Herman
4 months ago
Definitely go for option D, it’s a common fix.
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Shanice
4 months ago
I think increasing the batch size could help too!
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Monte
5 months ago
Decreasing the learning rate usually helps with oscillation.
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Phuong
5 months ago
I vaguely recall that adjusting the batch size can affect the training dynamics, but I can't remember if increasing or decreasing it is better for oscillations.
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Kris
5 months ago
I feel like decreasing the learning rate is a common solution for convergence issues, but I might be mixing it up with other techniques.
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Dulce
5 months ago
I think I saw a practice question where increasing the batch size helped stabilize the loss, but I'm not confident if that applies here.
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Jerilyn
5 months ago
I remember reading that decreasing the learning rate can help with oscillations, but I'm not completely sure if that's the only thing to consider.
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Cecilia
5 months ago
I think this question is asking about the specific configuration steps needed to set up partner settlement and shared revenue. I'll need to review my notes on the BRIM functionality to identify the correct entries.
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Norah
5 months ago
I think the key is to focus on the wireless connection itself. Not broadcasting the SSID and using encryption seem like the right steps to take.
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Cristen
5 months ago
This question reminds me of similar ones we did in practice, and I feel like the DNS server IP might play a role too.
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Shawn
5 months ago
I remember discussing the late majority, and they are often skeptical about new technology. Sandra's case might fit there too, but she seems more like a laggard to me.
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