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GitHub / deepankarvarma / Handwriting-Recognition--OpenCV--Keras-and-TensorFLow

This repository contains Python code for handwritten recognition using OpenCV, Keras, TensorFlow, and the ResNet architecture. The project utilizes two datasets: the standard MNIST 0-9 dataset and the Kaggle A-Z dataset. The OCR model is trained using Keras and TensorFlow, while OpenCV is used for image pre-processing.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/deepankarvarma%2FHandwriting-Recognition--OpenCV--Keras-and-TensorFLow

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 1.81 MB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: over 1 year ago
Pushed at: about 2 years ago
Last synced at: 12 months ago

Topics: deep-learning, handwriting-recognition, image-augmentation, image-classification, image-processing, kaggle, keras, machine-learning, mnist, mnist-handwriting-recognition, multiclass-classification, multiclass-image-classification, neural-network, resnet, tensorflow

Funding Links https://github.com/sponsors/deepankarvarma

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