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Neural Networks from scratch in Rust #4: Layers of neurons and backpropagation

by chubs on 7/11/24, 12:04 PM with 3 comments

• by chubs on 7/11/24, 12:06 PM

  The other articles, in order:

  #1, a single neuron: https://www.splinter.com.au/2024/03/10/neural-networks-1/

  #2, one neuron's gradient: https://www.splinter.com.au/2024/03/20/neural-networks-2/

  #3, training: https://www.splinter.com.au/2024/04/22/neural-networks-3/

  #4, multiple layers and backpropagation: https://www.splinter.com.au/2024/07/10/neural-networks-4/

  Thanks for your time, I hope it's somewhat informative :)

• by chubs on 7/11/24, 12:04 PM

  Hi all, I recently finished writing a series of articles on implementing NNs from scratch, trying to keep it as relatable as possible by demonstrating the maths (math, americans might say) in spreadsheets, pseudocode, and Rust. I really hope someone gets something out of this! Thanks :)

• by demarq on 7/14/24, 9:26 AM

  awesome, something like this needed to exist.

  Looking forward to more articles!