PyTorch Feedforward Neural Network

Industry 4.0 Quality Control — Sealant Volumetric Failure Detection

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Use Case

Sealant Volumetric Failure Detection

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Input Data

Sealant Bead Width & Height (mm)

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Task

Binary Classification (Accept/Reject)

1. Data Context

2. Data → Input

3. Architecture

4. Loss & Optimizer

5. Training

6. Evaluation

Step 1: Understanding the Data

Manufacturing quality control data with dimensional measurements. Parts classified as Accept (within tolerance) or Reject (defective — 5% rate).

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Manufacturing Data Overview

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Data Structure