Summary
In this chapter, we were able to launch an EC2 instance using a Deep Learning AMI. This allowed us to immediately have an environment where we can perform our ML experiments without worrying about the installation and setup steps. We then proceeded with using TensorFlow to train and evaluate our deep learning model to solve a regression problem. We wrapped up this chapter by having a short discussion on how AWS pricing works for EC2 instances.
In the next chapter, we will focus on how AWS Deep Learning Containers help significantly speed up the ML experimentation and deployment process.
