Sep
23
Thursday, September 23, 2021 – 4:00pm to 5:00pm
Thursday, September 23, 2021 – 4:00pm to 5:00pm
Virtual
Presenter
Akshay Bareja
In this session, you will learn how to participate in a Kaggle competition. Kaggle is an online community of data scientists and machine learning practitioners that frequently holds public competitions. To hone our deep learning skills, we will participate in an image classification competition called “”Kannada MNIST””. The goal is to build a model that can accurately classify numbers written in Kannada, which is a South Indian language. This will be a live code-along in which we will build our model from scratch, however those who would just like to watch are equally welcome! While a basic familiarity with python and deep learning will be helpful, the only requirement for participation is a browser and a stable internet connection.
If you would like to learn more about this competition, please refer to – www.kaggle.com/c/Kannada-MNIST
And here’s a link to a wonderful introduction to deep learning – codelabs.developers.google.com/codelabs/cloud-tensorflow-mnist#0
On the day before the session, all registrants will receive an e-mail with a link and meeting information. Please register at least 15 minutes prior to the start of the session to allow time for the system to generate a personalized e-mail with the access link.
This session is part of the Duke+DataScience (+DS) program virtual learning experiences (vLEs). To learn more, please visit plus.datascience.duke.edu
Read more here: Source link