MLchartDataset catalogue

Deep learning

Term · Semiconductors · MLC-T-SEM-000083

A subfield of machine learning that uses artificial neural networks with multiple layers to learn representations of data with multiple levels of abstraction. These networks can identify complex patterns in large datasets, such as images or sensor readings, without explicit programming for each feature. In semiconductors, deep learning algorithms are applied for defect classification, predictive maintenance, and process control.

Table 1. Record
IdentifierMLC-T-SEM-000083
FieldSemiconductors
SubjectSmart Manufacturing & AI
Record as JSON 
{
  "id": "MLC-T-SEM-000083",
  "term": "Deep learning",
  "field": "Semiconductors",
  "definition": "A subfield of machine learning that uses artificial neural networks with multiple layers to learn representations of data with multiple levels of abstraction. These networks can identify complex patterns in large datasets, such as images or sensor readings, without explicit programming for each feature. In semiconductors, deep learning algorithms are applied for defect classification, predictive maintenance, and process control.",
  "subject": "Smart Manufacturing & AI",
  "url": "https://mlchart.com/terminology/semiconductors/deep-learning/"
}

Record 78 of 390 in Semiconductors terminology (MLC-0108). Request the full dataset.