Edited code examples from the book 'Deep Learning for Computer Vision - Starter Bundle' by Adrian Rosebrock.
- Introduction
- What is Deep Learning?
- Image Fundamentals
- Image Classification Basics
- Datasets for Image Classification
- Configuring Your Development Environment
- Your First Image Classifier
- Parameterized Learning
- Optimization Methods and Regularization
- Neural Network Fundamentals
- Convolutional Neural Networks
- Training Your First CNN
- Saving and Loading Your Models
- LeNet: Recognizing Handwritten Digits
- MiniVGGNet: Going Deeper with CNNs
- Learning Rate Schedulers
- Spotting Underfitting and Overfitting
- Checkpointing Models
- Visualizing Network Architectures
- Out-of-the-box CNNs for Classification
- Case Study: Breaking Captchas with a CNN
- Case Study: Smile Detection
- Your Next Steps