You need to train a computer vision model that predicts the type of government ID present in a given image using a GPU-powered virtual machine on Compute Engine. You use the following parameters:
* Optimizer: SGD
* Image shape = 224x224
* Batch size = 64
* Epochs = 10
* Verbose = 2
During training you encounter the following error: ResourceExhaustedError: out of Memory (oom) when allocating tensor. What should you do?
Suggested Answer: B
Get Premium Professional Machine Learning Engineer Questions
as Interactive Web-Based Practice Test or PDF
Real Exam Format
Detailed Explanations
Instant Access
Get Your Practice Test
13 comments · newest first
ST
Stanton
12 months ago
Not sure if just lowering the batch size is enough...
ER
Erinn
1 year ago
Wait, can reducing image size really solve this?
ST
Stacey
1 year ago
Changing the optimizer won't help with memory issues.
TE
Tenesha
1 year ago
I agree, batch size affects memory usage a lot.
LI
Lindsey
1 year ago
Reducing the batch size is usually a good first step.
JE
Jestine
1 year ago
I recall that adjusting the learning rate usually affects convergence speed, but I'm not convinced it would help with an out of memory error.
LO
Loreta
1 year ago
I practiced a similar question where reducing the image size helped with memory constraints. Maybe that could work here too?
RE
Reuben
1 year ago
I remember we discussed how reducing the batch size can help with memory issues during training. It seems like a good option here.
DY
Dyan
1 year ago
I'm not entirely sure, but I think changing the optimizer might not directly solve the out of memory error. It feels like a workaround rather than a fix.
VA
Valentine
1 year ago
Hmm, this looks like a tricky one. I'll need to think carefully about the capabilities of Automation script settings.
AD
Adolph
1 year ago
Hmm, this looks tricky. I'll need to carefully review the options and think through the potential causes.
CH
Chantell
1 year ago
I'm a bit confused about the default action of an IP filter. Is it to forward or drop packets? I'll need to double-check that detail.
RO
Roxane
1 year ago
I've got this! The X part represents the major version of MySQL. That's the most important part of the version number, so it makes sense that it would be denoted by the X.