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Practical: Building an Image Classifier
A practical article on building an image classifier.
This week we looked at several common machine learning methods, and techniques to evaluate our models.
In this practical we will build and train an image classifier using the flower dataset we used last week, evaluate the results, and visualise them using a confusion matrix.
All the instructions are in the attached pdf in the Downloads section below.
We would encourage you to type the code in as you follow the practical through, to get in the practice of writing your own code.
However, if you want it, the sample script practical3.py containg all the code used in the practical can be downloaded from our Github repository at https://github.com/LAR/PhenoDataCampp/tree/main/MachineLearning.
Please let us know how you get on in the comments below.
