Teaching our neural network to think - Let's code a neural network in plain JavaScript Part 2
๐ Playlist for this series
https://www.youtube.com/playlist?list=PL0zVEGEvSaeGmPpG8tAaqSmf3k56LPwiF
๐Code from the episode
https://beta.observablehq.com/@mpj/neural-network-from-scratch-part-1
๐ (Patrons only) Official discussion topic for this episode on the Fun Fun Forum:
https://www.funfunforum.com/t/lets-code-a-neural-network-in-plain-javascript/5211
๐ Support the show by becoming a Patreon
https://www.youtube.com/watch?v=trP9q703x0o
๐ Daniel Shiffman video that inspired this video
https://www.youtube.com/watch?v=ntKn5TPHHAk
๐ Intro to ObservableHQ
https://www.youtube.com/watch?v=MmRmxzrr4lk
๐ But what is a neural network by 3blue1brown
https://www.youtube.com/watch?v=aircAruvnKk
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๐ Help translate the show to your language
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Letโs make a neural network, completely from scratch, in JavaScript! No machine learning libraries, no prior knowledge of machine learning, statistics, advanced math and no diving into neuroscience, just the plain code. In this episode, we look at how to improve the training of our neural network using a learning rate.
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