The next step in artificial intelligence (AI) is more about automation. In this book, we have covered some of the fundamentals of Automated machine learning (AutoML). There is one more area of AI that has just begun showing up in multiple use cases and is required to be applied extremely for automation. This area of the AI landscape is known as deep learning (DL). DL is at the tipping point of what machines can do. It can do more than machine learning (ML), with ease and with better precision. A DL algorithm can learn the critical features of a dataset by itself, can adjust the weights to create a better model, and much more. The applications of DL networks are extensive.
With the advent of Deep learning, researchers and practitioners in the field of image, speech, and video recognition, are seeing some actionable results. It has helped AI to get close...
