In this chapter, we have introduced the high-level concept of deep learning and AI in general. We talked about the history of deep learning, the up and downs, and its recent rise. From there, we dived deeper to discuss the differences between shallow algorithms and deep algorithms. We specifically discussed the two aspects of understanding deep learning: the neural point view and feature representation learning point of view. We then gave several successful applications across various fields. In the end, we talked about challenges that deep learning still faces and the potential future for machine-based AI.
In the next chapter, we will help you set up the development environment and get our hands dirty.
