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Building a Flower Classifier using Fast.ai

Using ResNet-34 To build our flower classifier, we are going to use the Flowers Recognition dataset provided by Kaggle. The pictures are divided into five classes: daisy, tulip, rose, sunflower, dandelion. For each class there are about 800 photos. Dividing data into Training and Validation Sets Since our data is not already segregated into training […]