• Provide an example of where the bear classification model might work poorly in production, due to structural or style differences in the training data.
• Where do text models currently have a major deficiency?
• What are possible negative societal implications of text generation models?
• In situations where a model might make mistakes, and those mistakes could be harmful, what is a good alternative to automating a process?
• What kind of tabular data is deep learning particularly good at?
• What's a key downside of directly using a deep learning model for recommendation systems?
• What are the steps of the Drivetrain Approach?
• How do the steps of the Drivetrain Approach map to a recommendation system?
• Create an image recognition model using data you curate, and deploy it on the web.
• What is DataLoaders?
• What four things do we need to tell fastai to create DataLoaders?
• What does the splitter parameter to DataBlock do?
• How do we ensure a random split always gives the same validation set?
• What letters are often used to signify the independent and dependent variables?
• What's the difference between the crop, pad, and squish resize approaches? When might you choose one over the others?
• What is data augmentation? Why is it needed?
• What is the difference between item_tfms and batch_tfms?
• What is a confusion matrix?
• What does export save?
• What is it called when we use a model for getting predictions, instead of training?