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Coding Train Live 156: word2vec & Seven-Segment Display

20.2K views
•
October 12, 2018
by
The Coding Train
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Coding Train Live 156: word2vec & Seven-Segment Display

TL;DR

Explore word embeddings by mapping colors in a 3D space, showcasing proximity and randomness in a creative exercise.

Transcript

hello happy Friday I thought I would try for an entrance it's actually work we're started with nobody here for a minute and just music playing and then I enter did that happen is my microphone off why are you hiding could you tell I was hiding underneath the air and I slipped that way I guess I could have a computer over there though I start this d... Read More

Key Insights

  • 👾 The demonstration presented a practical application of word embeddings using a 3D color space for creative explorations.
  • 🔑 Utilizing vectors and distance calculations illustrated the concept of word similarities and relationships in a visual context.
  • 🏃 Suggestions for further creative exercises showcased the versatility of word embeddings in artistic and educational contexts.

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Questions & Answers

Q: What is the purpose of word embeddings in this demonstration?

Word embeddings are used to represent words as vectors in a high-dimensional space, enabling proximity and semantic relationships between words to be calculated through mathematical operations.

Q: How did the random walk through the color space illustrate the concept of word vectors?

The random walk showcased how vectors can be used to navigate and find similarities within a complex color space, a metaphor for mapping word similarities in a textual corpus.

Q: How is distance calculated between colors in the color space?

Euclidean distance is used to measure the proximity between colors, allowing for the identification of the nearest color to a given vector position.

Q: What potential creative exercises were suggested based on this demonstration?

Ideas like color poetry, interactive visualization projects, and exploring color relationships through word embeddings could be explored as engaging exercises in educational settings and beyond.

Summary & Key Takeaways

  • Demonstrated the use of word vectors in a 3D color space using JavaScript and p5.js library.

  • Explored random walks in the color space to find the closest color to a random vector.

  • Showcased the potential for creative applications such as color poetry and visualizations.


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