In this chapter, we'll take what we've learned so far and provide some basic information on it to help you move forward. We will look into the overall design of the model architecture and the steps we need to follow when choosing which convolution operation is needed. We will also learn how to adjust and tweak the loss function and learning rate.
In this chapter, we will cover the following topics:
- Model design cheat sheet
- Model training cheat sheet
- Efficient coding in Python
- Advice for deep learning beginners
