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The Coding Train via YouTube Free video

Coding Train Live 115 - Backpropagation

Overview

This live stream is a continuation of neural network series. I attempt to discuss backpropagation, but it mostly goes haywire.

Timestamps:

30:20 - Reading Random Numbers

36:22 - Backpropagation Part 1

1:06:56 - Backpropagation Part 2

1:40:25 - Learning with Gradient Descent

🚂 Website: http://thecodingtrain.com/

👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide

🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box

💡 GitHub: https://github.com/CodingTrain

💬 Discord: https://thecodingtrain.com/discord

💖 Membership: http://youtube.com/thecodingtrain/join

🛒 Store: https://standard.tv/codingtrain

🖋️ Twitter: https://twitter.com/thecodingtrain

📸 Instagram: https://www.instagram.com/the.coding.train/

🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH

🎥 Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA

🔗 p5.js: https://p5js.org

🔗 p5.js Web Editor: https://editor.p5js.org/

🔗 Processing: https://processing.org

References:

SFPC's Learning to Teach 2018: https://medium.com/@sfpc/learning-to-teach-2018-4dca068b0fb8

Michael Nielsen's Book on Neural Networks: http://neuralnetworksanddeeplearning.com/

Deeplearn.js: https://deeplearnjs.org/

Sigmoid function on Wikipedia: https://en.wikipedia.org/wiki/Sigmoid_function

Videos:

My Neural Networks series: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh

3Blue1Brown Neural Networks playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

3Blue1Brown's Linear Algebra playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab

Gradient Descent by 3Blue1Brown: https://youtu.be/IHZwWFHWa-w

Gradient Descent by Siraj Raval: https://youtu.be/XdM6ER7zTLk

My Video on Gradient Descent: https://youtu.be/jc2IthslyzM

Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code

📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct

Chapters 4

  1. 30:20Reading Random Numbers
  2. 36:22Backpropagation Part 1
  3. 1:06:56Backpropagation Part 2
  4. 1:40:25Learning with Gradient Descent

Advantages and disadvantages

Advantages

  • Free, one long video that covers a topic end to end.
  • Use the chapters to jump to what you need.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.
  • Start watching right away, no sign-up.

Disadvantages

  • No exercises or certificate: code along to make it stick.
  • No certificate.
  • No graded assignments or feedback.
  • Recorded in 2018: tools may have changed since.

Some points apply to every course of this kind; see how we rank.

Free

  • Free: Watch on YouTube, no account needed.
  • Certificate: None. Code or take notes along to make it stick.

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