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A web-based deep learning project using TensorFlow.js to identify butterfly species from images. Powered by a convolutional neural network (CNN) and trained on 6,000+ labeled butterfly images. Features browser-based training, prediction, and live feedback visualization.

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RaoulBock/CIFAR-10-Inspired-Image-Classifier-with-TensorFlow.js

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CIFAR-10 Image Classifier

A JavaScript project using TensorFlow.js to classify images into 10 categories (airplane, bird, cat, etc.).

Features

  • Convolutional Neural Network (CNN)
  • Browser-based training & prediction
  • Real-time visual performance tracking

How to Run

  1. Clone the repo
  2. Open index.html in your browser
  3. Click Train to simulate model training

To-do

  • Add real dataset loading logic
  • Enhance prediction UI
  • Upload images for classification

About

A web-based deep learning project using TensorFlow.js to identify butterfly species from images. Powered by a convolutional neural network (CNN) and trained on 6,000+ labeled butterfly images. Features browser-based training, prediction, and live feedback visualization.

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