A Machine Learning Specialist Is Required to Build a Supervised

question 149

Multiple Choice

A Machine Learning Specialist is required to build a supervised image-recognition model to identify a cat. The ML Specialist performs some tests and records the following results for a neural network-based image classifier: Total number of images available = 1,000 Test set images = 100 (constant test set) The ML Specialist notices that, in over 75% of the misclassified images, the cats were held upside down by their owners. Which techniques can be used by the ML Specialist to improve this specific test error?

• A) Increase the training data by adding variation in rotation for training images.
• B) Increase the number of epochs for model training
• C) Increase the number of layers for the neural network.
• D) Increase the dropout rate for the second-to-last layer.

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