Teaching our neural network to think - Let's code a neural network in plain JavaScript Part 2

🔗 Playlist for this series https://www.youtube.com/playlist?list=PL0zVEGEvSaeGmPpG8tAaqSmf3k56LPwiF 🔗Code from the episode https://beta.observablehq.com/@mpj/neural-network-from-scratch-part-1 🔗 (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 🔗 Support the show by becoming a Patreon https://www.youtube.com/watch?v=trP9q703x0o 🔗 Daniel Shiffman video that inspired this video https://www.youtube.com/watch?v=ntKn5TPHHAk 🔗 Intro to ObservableHQ https://www.youtube.com/watch?v=MmRmxzrr4lk 🔗 But what is a neural network by 3blue1brown https://www.youtube.com/watch?v=aircAruvnKk 🔗 mpj on Twitter https://twitter.com/mpjme 🔗 Help translate the show to your language http://www.youtube.com/timedtext_cs_panel?tab=2&c=UCO1cgjhGzsSYb1rsB4bFe4Q Let’s 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.