File size: 1,738 Bytes
5ccc1b8 fd832fc 5ccc1b8 fd832fc 5ccc1b8 fd832fc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 |
---
title: Neural Network Playground
emoji: 🧠
colorFrom: pink
colorTo: blue
sdk: static
pinned: true
license: mit
---
# Neural Network Playground
## Introduction
Neural Network Playground is an interactive visualization tool that helps you understand how neural networks work. Built with plain HTML, CSS, and JavaScript, it allows you to:
- Create custom neural network architectures by dragging and dropping different types of layers
- Connect layers and see how data flows through the network
- View input and output shapes for each layer
- Visualize layer parameters and configurations
## Features
- **Interactive Interface**: Drag and drop nodes to create neural networks
- **Shape Information**: See input and output shapes for each node
- **Detailed Parameters**: View kernel size, stride, and padding for applicable layers
- **Layer Types**:
- Input Layer
- Hidden Layer
- Output Layer
- Convolutional Layer
- Pooling Layer
- Linear Regression Layer
## How to Use
1. Drag components from the left panel onto the canvas
2. Connect them by dragging from output (right) ports to input (left) ports
3. Double-click on nodes to edit their properties
4. Use the network settings to adjust learning rate and activation functions
## Technical Details
The playground visualizes how neural networks process data and helps users understand concepts like:
- Shape transformations between layers
- Parameter calculations
- The effects of different layer configurations
This is an educational tool designed to make neural networks more accessible and understandable.
## License
MIT
|