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Practical: Making an image classifier
A link to a Colab notebook demonstrating how to train a deep learning image classifier using images of different flower species.
© The University of Nottingham
To use new image data we will need to make a custom dataset.
In the linked Colab notebook we will put together everything we have learned so far to make a working image classifier for the Oxford flower dataset.
In the notebook we will cover the following:
- downloading the dataset, and setting up datasets and dataloaders
- importing a model network from PyTorch: ResNet
- adapting the ResNet architecture for our image classifcation problem
- training the network
- testing and displaying network output.
Follow the link below and work through the Colab notebook step by step.
Please leave any questions or comments below.
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