TensorFlow Machine Learning Cookbook

Chapter 8. Convolutional Neural Networks

Convolutional Neural Networks (CNNs) are responsible for the major breakthroughs in image recognition made in the past few years. In this chapter we will cover:

• Implementing a Simpler CNN
• Implementing an Advanced CNN
• Retraining Existing CNN models
• Applying Stylenet/Neural-Style
• Implementing DeepDream

As a reminder, the reader may find all of the code for this chapter available online here: https://github.com/nfmcclure/tensorflow_cookbook.

Introduction

In mathematics, a convolution is a function which is applied over the output of another function. In our case, we will consider applying a matrix multiplication (filter) across an image. See the following diagram for a conceptual understanding of how image convolution ...