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salim4n/
tfjs-dqn-test-1744563890423

Name: tfjs-dqn-test-1744563890423
Availability: InStock

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TensorFlow.js Model

Model Information

Framework: TensorFlow.js
Type: Deep Q-Network (DQN)
Created by: IgnitionAI

Model Format

This model is saved in TensorFlow.js format and can be loaded in two ways:

LayersModel (Default)
- Better for fine-tuning and training
- More flexible for model modifications
- Higher memory usage
- Slower inference
GraphModel
- Optimized for inference only
- Faster execution
- Lower memory usage
- Not suitable for training

Usage

javascript

import { loadModelFromHub } from '@ignitionai/backend-tfjs';

// Option 1: Load as LayersModel (for training/fine-tuning)
const layersModel = await loadModelFromHub(
  'salim4n/tfjs-dqn-test-1744563890423',
  'model/model.json',
  false // graphModel = false for LayersModel
);

// Option 2: Load as GraphModel (for inference only)
const graphModel = await loadModelFromHub(
  'salim4n/tfjs-dqn-test-1744563890423',
  'model/model.json',
  true // graphModel = true for GraphModel
);

// Run inference
const input = tf.tensor2d([[0.1, 0.2]]);
const output = model.predict(input);

Features

Automatic retry with exponential backoff
Configurable retry attempts and delays
Error handling and logging
Support for both LayersModel and GraphModel

Files

model.json: Model architecture and configuration
weights.bin: Model weights
README.md: This documentation

Repository

This model was uploaded via the IgnitionAI TensorFlow.js integration.