Checking a Mismatch Hypothesis on Training Dev Subsets

In a cat detector system with 10,000 user-uploaded images and 200,000 internet images, how should you split the target-distribution data?

True or False: We should use target-distribution training data alongside auxiliary data to help the network learn on it.

Adding target-distribution data to training means it contains data from the _____ distribution.

Match the cat detector data components with their distribution properties.

Order the decision process to allocate voice navigation data.

What is a benefit of having in-car audio in both training and training dev sets?

True or False: A training set from a different distribution than the dev/test set should still be used for learning.

Good performance on training but not on training dev validates the _____ hypothesis.

Match the performance outcomes on in-car audio with their implications.

Order the process of setting up and using a cat detector with mixed data.