4 Getting started with neural networks: Classification and regression
This chapter covers:
- Your first examples of real-world machine learning workflows
- Handling classification problems over vector data
- Handling continuous regression problems over vector data
This chapter is designed to get you started using neural networks to solve real problems. You’ll consolidate the knowledge you gained from chapters 2 and 3, and you’ll apply what you’ve learned to the following three new tasks covering the three most common use cases of neural networks:
- Classifying movie reviews as positive or negative (binary classification
- Classifying news wires by topic (multiclass classification)
- Estimating the price of a house, given real estate data (scalar regression
These examples will be your first contact with end-to-end machine learning workflows: you’ll be introduced to data preprocessing, basic model architecture principles, and model evaluation.