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Neural Networks Demystified [Part 1: Data and Architecture]

Welch Labs · tutorial · Watch on YouTube

Machine learning & deep learning

What it is

The first of a short series by Welch Labs on building a complete neural network in Python. It introduces the data and the architecture of a simple network before later parts cover forward propagation, gradient descent, and backpropagation.

Why Hacker News recommends it

HN commenters point beginners to this series as one of the clearest short walkthroughs of how neural networks and backpropagation work.

  • 3 people recommended it
  • 3 different months
  • 1 strong recommendations
  • first 2015, last 2018

What HN commenters said

  1. “One of the clearest walkthroughs I've seen online is a short series of very short videos by Stephen C Welch [2] [3].”

    Clear, short video series walking through backpropagation.

    film42, 2015-02 · Strong recommendation · in “Beginning deep learning with 500 lines of Julia”

  2. “It get’s into some of the math, while still keeping it basic.”

    Series covering some math while keeping it basic.

    josso, 2016-04 · Recommendation · in “Google has started a video series on machine learning and I can understand it”

  3. “Know what AI actually is”

    First step in a learning path: what AI actually is.

    max_, 2016-06 · Recommendation · in “Ask HN: From programming to AI, how?”

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

Topics: neural networks, backpropagation, python, machine learning, welch labs

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