You're reading from Python Machine Learning By Example Unlock machine learning best practices with real-world use cases

Product type Paperback

Published in Jul 2024

Publisher Packt

ISBN-13 9781835085622

Length 518 pages

Edition 4th Edition

Languages

Python

Tools

PyTorch

Concepts

Computer Vision

Author (1):

Yuxi (Hayden) Liu

View More author details

Table of Contents (18) Chapters

Preface

1. Getting Started with Machine Learning and Python

2. Building a Movie Recommendation Engine with Naïve Bayes FREE CHAPTER

3. Predicting Online Ad Click-Through with Tree-Based Algorithms

4. Predicting Online Ad Click-Through with Logistic Regression

5. Predicting Stock Prices with Regression Algorithms

6. Predicting Stock Prices with Artificial Neural Networks

7. Mining the 20 Newsgroups Dataset with Text Analysis Techniques

8. Discovering Underlying Topics in the Newsgroups Dataset with Clustering and Topic Modeling

9. Recognizing Faces with Support Vector Machine

10. Machine Learning Best Practices

11. Categorizing Images of Clothing with Convolutional Neural Networks

12. Making Predictions with Sequences Using Recurrent Neural Networks

13. Advancing Language Understanding and Generation with the Transformer Models

14. Building an Image Search Engine Using CLIP: a Multimodal Approach

15. Making Decisions in Complex Environments with Reinforcement Learning

16. Other Books You May Enjoy

17. Index

Getting started with the dataset

We are going to use the Flickr8k dataset (https://hockenmaier.cs.illinois.edu/8k-pictures.html), created by M. Hodosh, P. Young, and J. Hockenmaier, described in Framing Image Description as a Ranking Task: Data, Models and Evaluation Metrics, Journal of Artificial Intelligence Research, Volume 47, pages 853–899 (https://www.jair.org/index.php/jair/article/view/10833/25855). It is commonly employed in various computer vision tasks, particularly image captioning.

The Flickr8k dataset contains 8,000 images collected from the Flickr photo-sharing website. These images cover a diverse range of scenes, objects, and activities. Each image in the dataset is associated with five English sentences. These sentences serve as captions and provide textual descriptions of the image content.

One common use of the Flickr8k dataset is image captioning, where the goal is to train models to generate human-like captions for images. The Flickr8k dataset...