What should you do?

You are developing an ML model intended to classify whether X-Ray images indicate bone fracture risk. You have trained on Api Resnet architecture on Vertex AI using a TPU as an accelerator, however you are unsatisfied with the trainning time and use memory usage. You want to quickly iterate your training code but make minimal changes to the code. You also want to minimize impact on the models accuracy.

What should you do?
A . Configure your model to use bfloat16 instead float32
B . Reduce the global batch size from 1024 to 256
C . Reduce the number of layers in the model architecture
D . Reduce the dimensions of the images used un the model

View Answer

Answer: B