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Lecture 1 | Natural Language Processing with Deep Learning

Stanford University School of Engineering · lecture · Watch on YouTube

Computer vision, speech & NLPMachine learning & deep learningUniversity lectures & courses

What it is

The first lecture of Stanford's Natural Language Processing with Deep Learning course, taught by Chris Manning and Richard Socher. It introduces NLP and word vectors, including SVD, skip-gram, CBOW, negative sampling and word2vec.

Why Hacker News recommends it

Recommended as one of the best free courses for learning modern deep learning for NLP.

  • 3 people recommended it
  • 3 different months
  • 1 strong recommendations
  • first 2017, last 2018

What HN commenters said

  1. “I will suggest two brilliant courses from Stanford”

    One of two brilliant Stanford courses on recent deep learning advances.

    neel8986, 2018-01 · Strong recommendation · in “Ask HN: How to Seriously Start with Machine Learning and AI”

  2. “For those who like Prof Manning's style and want to get more in depth, here are the lecture videos for the NLP course he teaches at Stanford”

    Stanford NLP course lectures by Prof. Manning.

    ahussain, 2017-12 · Recommendation · in “Theoretical Machine Learning Lecture Series: Deep Learning and Cognition”

  3. “That class is good. it should take a long time to grok.”

    Good Stanford NLP class that takes time to absorb.

    morugin, 2018-03 · Recommendation · in “Amazon Is Hiring More Developers for Alexa Than Google Is Hiring for Everything”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: word vectors, word2vec, nlp, deep learning, stanford

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