Basic Math Concepts – One-Hot in Neural Network
1. Basic Set Theory
- Understanding of unique elements in a list.
- Concept of mapping a label to a position/index.
2. Vectors
- A vector is just a list of numbers — One-Hot Encoding turns each category into a vector.
3. Arrays and Indexing
- The idea that each category gets its own position (index).
- Understanding how to place a 1 at a specific index.
4. No Need for Arithmetic Operations
- One-hot encoding does not require multiplication or addition.
- It’s more about structure and mapping than calculation.
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