method, according to the following formula
In this chapter, we will summarize what has been covered in this book so far, and what the next steps are from this point onward. You will look at how to apply the skills you have gained to other projects, real-life challenges in building and deploying Keras deep learning models, and other common technologies that data scientists often use. By the end of this chapter, you will have a better understanding of the real-life challenges in building and deploying deep learning models and the additional resources and technologies you will need to sharpen your deep learning skills. In addition, you'll find out what some of the challenges are that await deep learning researchers in the near future.
We will cover the following topics in this chapter:
- Deep learning methods
- Automated machine learning
- Differentiable neural computers...
