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CS231n Winter 2016: Lecture1: Introduction and Historical Context

Andrej Karpathy · course · Watch on YouTube

Machine learning & deep learningComputer vision, speech & NLPUniversity lectures & courses

What it is

The first lecture of Stanford's CS231n Winter 2016 course on convolutional neural networks for visual recognition, introducing the course and the historical context of computer vision.

Why Hacker News recommends it

HN lists it as a free, brilliant introduction to deep learning and computer vision, often within ML self-study plans.

  • 2 people recommended it
  • 1 different months
  • 1 strong recommendations
  • first 2016, last 2023

What HN commenters said

  1. “The Vision course by Karparthy can be a very good introduction to Deep learning.”

    Brilliant Stanford vision course, a good introduction to deep learning.

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

  2. “Stanford Winter Quarter 2016 class: CS231n: Convolutional Neural Networks for Visual Recognition.”

    Stanford CNN course listed among introductory ML and deep learning courses.

    igravious, 2018-01 · Recommendation · in “Ask HN: Best introductory video courses on ML and Deep Learning?”

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

Topics: cs231n, deep learning, computer vision, stanford, cnn

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