Create digit recognition web app with Streamlit
Offered By
In this Guided Project, you will:
Create complete training pipeline
Create web app using streamlit
2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only
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.
Skills you will develop
Convolutional Neural Network
Deep Learning
pytorch
Streamlit
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Introduction
Load MNIST Handwritten Dataset
Load Dataset into batches
Load model
Create train and eval function
Training Loop
Inference
Create a web app
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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