In this liveProject series, you’ll take on the role of a computer vision engineer creating a proof of concept for an image recognition mobile app—one with world-changing potential. You’ll build a machine learning model that can identify cancerous moles in low-resolution photos from a phone’s camera. To produce the model, you’ll work through different supervised, unsupervised, and semi-supervised learning techniques, and use data augmentation to improve your training dataset. Each liveProject in this series covers a different deep learning approach for you to build a toolbox of skills that are most relevant to your career.
This liveProject is for intermediate Python programmers with some machine learning experience. To begin this liveProject, you will need to be familiar with the following:
In this liveProject, you will learn important deep learning tools and techniques that are highly transferable to a wide range of machine learning roles, especially in the field of computer vision.
geekle is based on a wordle clone.