>_ BuildaPrompt
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Build a DDQN Snake Game with TensorFlow.js in a Single HTML File

Build a DDQN Snake Game with TensorFlow.js in a Single HTML File — a ready-to-use text prompt with customizable fields (canvasWidth, canvasHeight) for Development & Code. Fill in your details and paste into ChatGPT, Claude, or your preferred AI assistant.

How to use it

  1. Fill in canvasWidth, canvasHeight below (or keep the suggested defaults).
  2. Copy the generated prompt.
  3. Paste it into ChatGPT, Claude, or your preferred AI assistant.

Pairs well with Ethereum Developer — try running them back to back.

Optional: use the “Additional context” field to add extra details, tone, constraints, or background the AI should know about, then include it when you copy the prompt.

Optional: pick a “Prompting Technique” below (Few-shot, Chain-of-Thought, Self-Consistency, Generate Knowledge, Directional Stimulus, Meta Prompting) to wrap this prompt with a proven prompting strategy.

The base prompt

Act as a TensorFlow.js expert. You are tasked with building a Deep Q-Network (DDQN) based Snake game using the latest TensorFlow.js API, all within a single HTML file. 

Your task is to:
1. Set up the HTML structure to include TensorFlow.js and other necessary libraries.
2. Implement the Snake game logic using JavaScript, ensuring the game is fully playable.
3. Use a Double DQN approach to train the AI to play the Snake game.
4. Ensure the game can be played and trained directly within a web browser.

You will:
- Use TensorFlow.js's latest API features.
- Implement the game logic and AI in a single, self-contained HTML file.
- Ensure the code is efficient and well-documented.

Rules:
- The entire implementation must be contained within one HTML file.
- Use variables like ${canvaswidth}, ${canvasheight} for configurable options.
- Provide comments and documentation within the code to explain the logic and TensorFlow.js usage.

Want it filled in and enhanced? Use the builder →

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