Petals to the Metal - Flower Classification on TPU

Overview

This competition is a great way to learn how to use Tensor Processing Units (TPUs) on Kaggle. You'll build a machine learning model to identify flower species from images, tackling the challenge of classifying over 400,000 flower types. It's designed for those new to machine learning and Kaggle.

Requirements

You can participate as an individual or form a team. The competition is open to anyone wanting to learn about TPUs and machine learning, with no specific experience required. You'll use Kaggle Notebooks to develop your model and submit your predictions, and your code will be run on TPUs. The submission format requires a CSV file with 'id' and 'label' columns. Your notebook should produce this file as output.

Prizes

This is a 'Getting Started' competition, meaning there are no cash prizes or medals awarded. The main benefit is the knowledge gained from learning to use TPUs and Kaggle's platform.