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Classroom Contents
How to Train an Image Classifier Using PyTorch
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- 1 Intro
- 2 Deep Neural Networks
- 3 Why PyTorch
- 4 Neural Network
- 5 Pretrained Network
- 6 Internals
- 7 Updating the model
- 8 How to train a model
- 9 Evaluation mode
- 10 Transforms
- 11 Loaders
- 12 Learning Rate
- 13 Learning Rate Function
- 14 Learning Rate Scheduler
- 15 Data
- 16 Dataset
- 17 Viewing the images
- 18 Interesting tags
- 19 Other tags
- 20 Common cities
- 21 Training time
- 22 Model
- 23 Chicago
- 24 Chicago Results
- 25 Another Plan
- 26 Get what I did
- 27 Results
- 28 Train test split
- 29 More results
- 30 Chicago recognition
- 31 Philadelphia recognition
- 32 London recognition
- 33 Errors
- 34 Final remarks
- 35 Gitlab
- 36 Questions
