Machine Learning Bookcamp

7 Neural networks and deep learning

This chapter covers

• Convolutional neural networks for image classification
• TensorFlow and Keras—frameworks for building neural networks
• Using pretrained neural networks
• Internals of a convolutional neural network
• Training a model with transfer learning
• Data augmentations—the process of generating more training data

Previously, we only dealt with tabular data—data in CSV files. In this chapter, we’ll work with a completely different type of data—images.

The project we prepared for this chapter is classification of clothes. We will predict if an image of clothing is a T-shirt, a shirt, a skirt, a dress, or something else.

This is an image classification problem. To solve it, we will learn how to train a deep ...