Summary
In this chapter, we learned about deep learning and CNNs. We discussed what CNNs are and why we need them. We talked about the architecture of CNNs. We learned about the various type of layers used within a CNN. We discussed how to use TensorFlow. We used it to build a perceptron-based linear regressor. We learned how to build an image classifier using a single-layer neural network. We then built an image classifier using a CNN.
In the next chapter we will learn about CNNs' other popular brother – Recurrent Neural Networks (RNNs). Like CNNs, RNNs have taken flight and are extremely popular right now. They have achieved impressive results against previous models; in some cases, in some cases, even surpassing human performance.
