0PricingLogin
Deep Learning Academy · Lesson

Why Embeddings Capture Meaning

Similar words land near each other.

Meaning Lives in a Space

Each word vector is a point in a high-dimensional space. Training arranges these points so geometry reflects meaning. 🌌

Similar Words Sit Close

After training, words used in similar ways land near each other. The vectors for cat and dog end up close neighbors.

All lessons in this course

  1. Tokenize and Build a Vocabulary
  2. nn.Embedding: Learnable Word Vectors
  3. Why Embeddings Capture Meaning
  4. Train a Text Classifier
← Back to Deep Learning Academy