You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
A simple interactive interface for users to draw digits on canvas and the deep learning model predicts the number and shows the result in graphical representation.
Field
Description
A simple Deep learning
A project built with tensorflowjs for predicting hand written digits
The project is built using tensorflowjs used for deploying machine learning algorithms in simple javascript. the user is provided with canvas to draw anything on the it. The model predicts and shows the prediction graph.
The goal of the project is to implement simple convolutional networks integrated with javascript in a practical way.
Scope
This project has its constraints such as, it cannot predict anything other than numbers (digits). As it is trained on MNIST dataset, it can only predict 0-9 classes (digits).
Project Request
A simple interactive interface for users to draw digits on canvas and the deep learning model predicts the number and shows the result in graphical representation.
Define You
Project Name
Hand Written Digit Recognition
Description
The project is built using tensorflowjs used for deploying machine learning algorithms in simple javascript. the user is provided with canvas to draw anything on the it. The model predicts and shows the prediction graph.
The goal of the project is to implement simple convolutional networks integrated with javascript in a practical way.
Scope
This project has its constraints such as, it cannot predict anything other than numbers (digits). As it is trained on MNIST dataset, it can only predict 0-9 classes (digits).
Timeline
I have already completed the project and pushed it to git.
Github Pages : https://raghucharan16.github.io/Hand-Written-Digit-Recognition/
Video Links or Support Links
The text was updated successfully, but these errors were encountered: