Types of Neural Networks

1. Feedforward Neural Network

  • Simplest type

  • Data moves in one direction (input → output)

2. Convolutional Neural Networks (CNNs)

  • Specialized for images and videos

  • Great at detecting shapes, edges, and objects

3. Recurrent Neural Networks (RNNs)

  • Designed for sequences (time, text, speech)

  • Can remember past information

4. Transformers

  • Modern architecture behind LLMs

  • Handles long-range context very efficiently

 

Traditional ML Neural Networks
  1. Manual feature engineering
  2. Works well on structured data
  3. Simpler models
  1. Automatic feature learning
  2. Excels at unstructured data
  3.  

    More complex but more powerful

 

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