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A neural network for digit recognition with training scripts, predictions, a desktop app, and pre-trained weights. πŸš€

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DigitRecognizer 🎯

This repository contains everything needed to train a neural network for handwritten digit recognition, make predictions, and provide a desktop app to test the model with input images.

πŸ“ Repository Structure: training/ πŸ‹οΈβ€β™‚οΈ β†’ Scripts for training the neural network using PyTorch.

predictions/ πŸ” β†’ Code for loading the trained model and making predictions.

app/ πŸ–₯️ β†’ Desktop application using Tkinter, allowing users to drag and drop an image to recognize the digit.

weights/ πŸ—οΈ β†’ Model weights (weight_gl.pth) saved after training.

πŸ’‘ Goal: Develop a CNN-based digit recognition model and integrate it into a user-friendly app! πŸš€

!!!WORK IN PROGRESS!!!

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A neural network for digit recognition with training scripts, predictions, a desktop app, and pre-trained weights. πŸš€

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