In this chapter, we'll cover some of the basics of deep learning. Deep learning refers to neural networks with lots of layers. It's kind of a buzzword, but the technology behind it is real and quite sophisticated.
The term has been rising in popularity along with machine learning and artificial intelligence, as shown in this Google trend chart:
As stated by some of the inventors of deep learning methods, the primary advantage of deep learning is that adding more data and more computing power often produces more accurate results, without the significant effort required for engineering.
In this chapter, we are going to be looking at the following:
- Deep learning methods
- Identifying handwritten mathematical symbols with CNNs
- Revisiting the bird species identifier to use images