PyTorch - Image Classification and Detection using CIFAR10 Dataset
This session starts with a brief introduction about the CIFAR-10 Dataset, training batches and test batches information. Then it presents step by step implementation of loading training dataset and test dataset, viewing some random images from the dataset. Also it provides the calculation of loss and optimizer implementation. Then it provides the step by step training the model using training images from CIFAR10 dataset and save the model file. Then it moves to validate and network performance measurement using test dataset.
