This chapter will cover deep learning and artificial neural networks. The chapter will explore this topic with working code examples to show how to apply deep learning concepts in computer vision. Our learning objectives of this chapter are as follows:
To understand neural networks, their architecture, and various mathematical functions and algorithms that work behind the scenes.
To write code in TensorFlow to ingest images, extract features, and train different types of neural networks.
To write code and understand how ...
