CIFAR10 Image Classifier using PyTorch
This is a blog post on the work that I have done in programming an image classifier for the CIFAR10 dataset. I had followed many notebooks, tutorials, and guidance from my Teaching Assistant Mondol, Md Ashaduzzaman Rubel, and my fellow classmate Subbiah Sharavanan, Abishek Pichaipillai for creating this notebook . The Work First I had to work on a base tutorial code available on the PyTorch website here . It is a beginner tutorial for classifying images into their respective labels which are present in the CIFAR10 dataset. Also need to try different optimizers provided by PyTorch and document the results and infer some conclusions. CIFAR10 dataset: The CIFAR10 dataset consists of 6000 images with which there are 1000 tests and 5000 training images with labels. It has images from 10 classes namely plane, car, bird, cat, deer, dog, frog, horse, ship, and truck. The ...