Lusera Tech

TensorFlow.js Interactive Model Viewer

Model Parameters

Training Progress

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Predictions vs Actual Data

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Model Information

🔷Model Architecture

Input → Dense(8, relu) → Dense(1, linear) → Output

⚙️Parameters

  • Learning Rate:0.1
  • Epochs:50
  • Batch Size:32
  • L2 Regularization:0.01
  • Hidden Units:8
  • Optimizer:Adam
  • Loss Function:Mean Squared Error

📊Data

Synthetic data following y = 2x + 1 + noise