Dim Sum Classifier – from Data to App part 1

7 min. read Picture Credits here In a typically machine learning lifecycle, we will need to acquire data, process data, train and validate/test models and finally deploy the trained models in applications/services. In this first part of two post, inspired by fast.ai 2019 lesson 2, we shall build a Dim Sum (a Cantonese bite-size style of cuisine with […]

Rock, paper, scissors – vision transfer learning with fast.ai

7 min. read Picture Credits: Wikipedia In the previous post, we used the Rock, Paper Scissors notebook that trained a custom image classification model from scratch. While the notebook is demonstrates building custom layers, for such a task, we can also leverage on Transfer Learning using models trained on similar image classification tasks that can often reduce time […]