Deep Learning with Convolutional Neural Networks
In this chapter, we are going to learn about deep learning and Convolutional Neural Networks (CNNs). CNNs have gained a lot of momentum over the last few years, especially in the field of image recognition. We will talk about the architecture of CNNs and the type of layers used inside. We are going to see how to use a package called TensorFlow. We will build a perceptron-based linear regressor. We are going to learn how to build an image classifier using a single-layer neural network.
We will then build an image classifier using a CNN. Image classifiers have many applications. It's a fancy name, but it's just the ability of computers to discern what an object is. For example, you might build a classifier that determines if something is a hotdog or not a hotdog. This is a lighthearted example, but image classifiers can also have life-or-death applications. Picture a drone that has image classification software embedded...
