Online Access Free H13-311_V3.5 Practice Test

ModelArts Service and (). The combination of services can easily deploy the model to "end"?

• A.OBS
• B.ECS
• C.OCR
• D.HiLens

Regularization is an important and effective technique for reducing generalization errors in traditional machine learning. The following techniques are regular.
The technology is:

• A.L1 Regularization
• B.Momentum optimizer
• C.L2 Regularization
• D.Dropout

Which of the following can improve the computational efficiency of the neural network model?
(Multjple choice)

• A.TPU
• B.GPU
• C.Large-scale distributed cluster
• D.FPGA

AI inference chips need to be optimized and are thus more complex than those used for training.

• A.FALSE
• B.TRUE

The test error will keep getting smaller as the complexity of the model increases.

• A.FALSE
• B.TRUE