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 = 224ֳ—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? 

Answer options:

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

B

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