January 2020
Beginner to intermediate
618 pages
13h 57m
English
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 ...