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Deep Learning — Intuition and Applications (Level 3)

Deep learning uses large networks of simple units (neurons) to learn complex patterns. It is especially effective for images, audio, and natural language.

What is a neural network?​

Think of a neural network as layers of simple calculators. Each layer transforms the data slightly; many layers together can learn very complex functions.

When is deep learning useful?​

  • Image recognition (faces, medical scans)
  • Natural language processing (chatbots, translation)
  • Audio processing (speech recognition, music tagging)

Limitations and costs​

  • Requires a lot of data and compute resources to train well.
  • Models can be large and slow to run on small devices without adaptation.

Short practical exercise​

Try a pre-trained demo (image classifier or text generator). Identify one clear success and one failure case; think about why the model succeeded or failed.