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THE VIDEO SHELF · neural networks

Neural Networks Demystified [Part 1: Data and Architecture]

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 HN readers recommended it

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

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Welch Labs
Topic
neural networks
Format
tutorial
Level
intro
HN recommenders in dataset
3
HN mentions in dataset
4
Recommendation years in dataset
2015–2018

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • The gist of this is really the Backpropagation algorithm [1]. It appears as though everything else is a means to detect when to stop. One of the clearest walkthroughs I've seen online is a short series of very short videos by Stephen C Welch [2] …

    film42 on Hacker News · 2015-02
    In Beginning deep learning with 500 lines of Julia
  • I also recommend Welch Labs’ Neural Network Demystified-series[0]. It is a combination of the Coursera course and the YouTube videos. It get’s into some of the math, while still keeping it basic. [0]: [VIDEO]

    josso on Hacker News · 2016-04
    In Google has started a video series on machine learning and I can understand it
  • Hello, my background is just like yours. Assuming you are a total noob I learned that AI is not like programming, where anyone with basic knowledge of computation can dive in. You can NOT just learn AI by reading other people's code. Its like Physics, …

    max_ on Hacker News · 2016-06
    In Ask HN: From programming to AI, how?

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.

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