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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 […]

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Machine Learning Notes — Week 1

My notes for the Machine Learning Course on Coursera by Andrew NG for week 1 Definition of Machine Learning: The field of study that gives computers the ability to learn without being explicitly programmed. In other words, a Computer program is said to learn from experience E with respect to some class of tasks T and […]

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Training an Image Classifier from scratch in 15 minutes

Using PyTorch, FastAI and the CIFAR-10 image dataset In this article, we’ll try to replicate the approach used by the FastAI team to win the Stanford DAWNBench competition by training a model that achieves 94% accuracy on the CIFAR-10 dataset in under 3 minutes. NOTE: Some basic familiarity with PyTorch and the FastAI library is […]