What should you do?

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 = 224×224

• 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?
A . Change the optimizer
B . Reduce the batch size
C . Change the learning rate
D . Reduce the image shape

View Answer

Answer: B

Explanation:

Reference:

https://github.com/tensorflow/tensorflow/issues/136

https://stackoverflow.com/questions/59394947/how-to-fix-resourceexhaustederror-oom-when-allocating-tensor/59395251#:~:text=OOM%20stands%20for%20%22out%20of,in%20your%20Dense%20%2C%20Conv2D%20layers