Transformer Neural Networks

Summary:

  • Input and output to numbers – Word Embedding
  • Token; Activation Functions; Weight
  • Word Embedding, Word2Vec
  • Words Order
  • Positional Encoding
    • Word Embedding: Word to numbers
    • Number that word order correspond to the word
    • Unique sequence of position value for each word
    • Cat eat dogs; dogs eat cat; keep track of word ordereing
  • Self Attention: Associate words between each other.
    • Similarities for each word in the sentence
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