Learn how to classify 10 famous personalities image dataset using Residual Network in PyTorch with over 90% accuracy in just 1 minute on a single GPU. Follow our step-by-step guide now!
A.K.A. Training an image classifier from scratch to over 90% accuracy in around 1 minute on a single GPU
In this project, we'll use the following techniques to train a state-of-the-art model in around 1 minute to achieve over 90% accuracy in classifying images from the 10 Famous personality Image Dataset,
import torch import torchvision import numpy as np import matplotlib import matplotlib.pyplot as plt matplotlib.rcParams['figure.facecolor'] = '#ffffff' %matplotlib inline
Follow the below step to download kaggle dataset. This applies to any of Kaggle dataset.