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سرفصل ها
- Intro
- What is deep learning
- Image fundamentals
- Image classification basics
- Datasets for image classification
- Configuring your development environment
- Your first image classifier
- Parameterized learning
- Optimisation methods and regularization
- Neural networks fundamentals
- Convolutional neural networks
- Training your first cnn
- Saving and loading your models
- LeNet: recognizing handwritten digits
- MiniVGGNet: going deeper with cnn
- Learning rate schedulers
- Spotting underfitting and overfitting
- Checkpointing models
- Visualizing network architecture
- Out-of-the-box cnn for classification
++ 2 case study: 1. Breaking captchas 2. Smile detection
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