• Do you need these for deep learning?
• Name five areas where deep learning is now the best in the world.
• What was the name of the first device that was based on the principle of the artificial neuron?
• Based on the book of the same name, what are the requirements for parallel distributed processing (PDP)?
• What were the two theoretical misunderstandings that held back the field of neural networks?
• What is a GPU?
• Open a notebook and execute a cell containing: 1+1. What happens?
• Follow through each cell of the stripped version of the notebook for this chapter. Before executing each cell, guess what will happen.
• Complete the Jupyter Notebook online appendix.
• Why is it hard to use a traditional computer program to recognise images in a photo?
• What did Samuel mean by "weight assignment"?
• What term do we normally use in deep learning for what Samuel called "weights"?
• Draw a picture that summarizes Samuel's view of a machine learning model.
• Why is it hard to understand why a deep learning model makes a particular prediction?
• What is the name of the theorem that shows that a neural network can solve any mathematical problem to any level of accuracy?
• What do you need in order to train a model?
• How could a feedback loop impact the rollout of a predictive policing model?
• Do we always have to use 224×224-pixel images with the cat recognition model?
• What is the difference between classification and regression?
• What is a validation set? What is a test set? Why do we need them?