PyTorch and fastai have two main classes for representing and accessing a training set or validation set: Dataset:: A collection that returns a tuple of your independent and dependent variable for a single itemDataLoader:: An iterator that provides a stream of mini-batches, where each mini-batch is a tuple of a batch of independent variables and … Continue reading FastAI: Multi-Label Classification [Chapter-6]
FastAI – Image Classification – [Chapter 5]
DataLoaders DataLoaders - Is a class that just stores whatever DataLoader object you pass to it and makes it available as train and valid. To turn downloaded data into a DataLoaders object we need at least 4 things - What kind of data we are working withHow to get the list of itemsHow to label … Continue reading FastAI – Image Classification – [Chapter 5]
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