Neural Network from Scratch to Predict Handwritten Numbers

https://neuralhandwriting.streamlit.app

Overview

This repository contains the source code for a Streamlit app and a neural network trained on the MNIST Dataset.

Deployment Instructions

Prerequisites

Google Cloud SDK installed
Google Cloud Project created
Required libraries installed (pip install -r requirements.txt)

Configuration

Set up your Google Cloud SDK by running:
```
gcloud init
```
Deploy the app to Google App Engine:
```
gcloud app deploy
```
Access your app using the provided URL after a successful deployment.

Local Development

Install dependencies:
```
pip install -r requirements.txt
```
Run the Streamlit app locally:
```
streamlit run app.py
```
Access the app in your browser at http://localhost:8501.

App Structure

app.py: Main Streamlit app script.
training_neural_network.ipynb: Script to train the neural network
app.yaml: Configuration file for Google App Engine.
requirements.txt: List of Python dependencies.

Feedback and Contributions

Feel free to provide feedback, report issues, or contribute to the project. We welcome your input!