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Create digit recognition web app with Streamlit
  • Level Intermediate
  • Duration 3 hours
  • Offered by

About

In this 1-hour long project-based course, you will learn how to create a digit recognition web application using streamlit. This project is divided into two stages. In the first stage, you are going to write the training pipeline in which you will load MNIST Handwritten dataset. You will write the training and validation functions in order to train and validate the dataset. Lastly, in this stage you will do inference. In the second stage, you will use the best trained model from the training pipeline and you will use that in your web app. You will create the web user interface using streamlit python library. In this web app a user will draw a digit and given that drawn digit, the best trained model will output the probabilities.

Auto Summary

Learn to create a digit recognition web app using Streamlit in this 1-hour project-based course. Ideal for personal development and taught by Coursera, the course covers training and validating the MNIST Handwritten dataset, followed by building a web user interface. Perfect for professionals, it offers practical experience with a focus on Python and machine learning. Available with a Starter subscription.