Handwritten-Digit-Recognition---CNN-with-99.65-Accuracy. Production-ready deep learning model for handwritten digit recognition using optimized CNN architecture. Features interactive web app, comprehensive training pipeline, and multiple deployment options. Achieves 99.65% accuracy on MNIST dataset with advanced data augmentation and regularization techniques.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

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Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.