Browser-based digit OCR demo using canvas input and a Python neural network backend.
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Updated
Jul 12, 2025 - Python
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sigmoidactivation
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This repository implements handwritten digit recognition using a deep neural network trained on the MNIST dataset. It covers data preprocessing, model building, training, and evaluation for high accuracy classification. Additionally, it includes a system for predicting digits from new images. The project demonstrates effective use of deep learning.
python deep-neural-networks deep-learning tensorflow numpy keras python3 seaborn deep-learning-algorithms mnist-classification mnist-dataset image-classification matplotlib cv2 mnist-image-dataset adam-optimizer mnist-handwriting-recognition relu sigmoidactivation relu-function
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Feb 3, 2026 - Jupyter Notebook
This project implements a simple feed-forward neural network for recognizing digits (0-9) from image data using backpropagation. The neural network is trained to identify digits based on pre-processed image data, which is filtered and resized before being used to train the network. The images are in grayscale and are converted to binary values
python machine-learning neural-network nn artificial-intelligence datascience computervision imageclassification artificialintelligence digitrecognition sigmoidactivation
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Dec 26, 2024 - Python
Trains a simple neural network to recognize binary letter patterns and evaluates its performance under random noise.
python machine-learning neural-network numpy jupyter-notebook classification pattern-recognition backpropagation sigmoidactivation handwritten-letters
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May 22, 2025 - Jupyter Notebook
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