Handwritten Digit Recognition

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  Project model accuracy

Inspiration wanted to work in the field of computer vision

What it does trains a machine learning model for digit recognition

How we built it using cnn with the help of keras library

Challenges we ran into large data set takes about 20 minutes to complete 5 epochs

Accomplishments that we're proud of has an accuracy of 98%

What we learned Use Of deep learning technique CNN

What's next for Handwritten Digit Recognition To achieve 99%percent accuracy by using less computational resources

Built With

• cnn
• keras
• python