/DL4CVStarterBundle

Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

DL4CVStarterBundle

Description

Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock.

Table of Contents

  1. Introduction
  2. What is Deep Learning?
  3. Image Fundamentals
  4. Image Classification Basics
  5. Datasets for Image Classification
  6. Configuring Your Development Environment
  7. Your First Image Classifier
  8. Parameterized Learning
  9. Optimization Methods and Regularization
  10. Neural Network Fundamentals
  11. Convolutional Neural Networks
  12. Training Your First CNN
  13. Saving and Loading Your Models
  14. LeNet: Recognizing Handwritten Digits
  15. MiniVGGNet: Going Deeper with CNNs
  16. Learning Rate Schedulers
  17. Spotting Underfitting and Overfitting
  18. Checkpointing Models
  19. Visualizing Network Architectures
  20. Out-of-the-box CNNs for Classification
  21. Case Study: Breaking Captchas with a CNN
  22. Case Study: Smile Detection
  23. Your Next Steps