Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lære Challenge: Implementing Positional Encoding | Section
Transformer Architecture

bookChallenge: Implementing Positional Encoding

Sveip for å vise menyen

Task

Implement get_positional_encoding — a function that precomputes the full positional encoding matrix for a given sequence length and embedding dimension.

The function should:

  1. Accept seq_len and d_model as arguments;
  2. Return a tensor of shape (seq_len, d_model) where each row is the encoding for one position;
  3. Apply sin to even indices and cos to odd indices using the sinusoidal formula from the previous chapter.

Run it with seq_len=10 and d_model=16, print the resulting tensor, and inspect how the values change across positions and dimensions. Then create a random embedding tensor of shape (10, 16) and add the positional encoding to it to confirm the shapes are compatible.

Alt var klart?

Hvordan kan vi forbedre det?

Takk for tilbakemeldingene dine!

Seksjon 1. Kapittel 7

Spør AI

expand

Spør AI

ChatGPT

Spør om hva du vil, eller prøv ett av de foreslåtte spørsmålene for å starte chatten vår

Seksjon 1. Kapittel 7
some-alt