画像認識のための深層学習 Deep Learning for Image Recognition

Long, Peng/ Song, Yu

Elsevier - Health Sciences Division（2025/10発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 542 p.
• 言語 ENG
• 商品コード 9780443439506
• DDC分類 006.37

Full Description

Deep Learning for Image Recognition provides a detailed explanation of the fundamental theories underpinning image recognition and code for recognition tasks in specific application scenarios. Readers can manipulate the existing code, thereby deepening their understanding. Chapters include project work enabling readers to apply the skills and knowledge gained from that section of the book. Projects are based on the accessible Pytorch framework, which is straightforward to learn and can be replicated and modified. Readers are presented with current research findings and up to date techniques in image recognition and deep learning.

Contents

1. Fundamentals of Neural Networks and Convolutional Neural Networks
2. Fundamentals of Deep Learning Optimization
3. Data Process Methods in Deep Learning
4. Image Classification
5. Object Detection
6. Image Segmentation
7. Model Visualization
8. Model Compression
9. Model Deployment and Launch