This chapter will give an overview of deep learning, the history of deep learning, the rise of deep learning, and its recent advances in certain fields. Also, we will talk about challenges, as well as its future potential.
We will answer a few key questions often raised by a practical user of deep learning who may not possess a machine learning background. These questions include:
- What is artificial intelligence (AI) and deep learning?
- What’s the history of deep learning or AI?
- What are the major breakthroughs of deep learning?
- What is the main reason for its recent rise?
- What’s the motivation of deep architecture?
- Why should we resort to deep learning and why can't the existing machine learning algorithms solve the problem at hand?
- In which fields can it be applied?
- Successful stories of deep learning
-
What’s the potential future of deep learning and what are the current challenges?
