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But what *is* a Neural Network? | Deep learning, chapter 1

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    Typo correction: At 14:45, the last index on the bias vector is n, when it's supposed to in fact be a k. Thanks for the sharp eyes that caught that!
    For those who want to learn more, I highly recommend the book by Michael Nielsen introducing neural networks and deep learning: goo.gl/Zmczdy
    There are two neat things about this book. First, it's available for free, so consider joining me in making a donation Nielsen's way if you get something out of it. And second, it's centered around walking through some code and data which you can download yourself, and which covers the same example that I introduce in this video. Yay for active learning!
    I also highly recommend Chris Olah's blog: colah.github.io/
    For more videos, Welch Labs also has some great series on machine learning:
    For those of you looking to go *even* deeper, check out the text "Deep Learning" by Goodfellow, Bengio, and Courville.
    Also, the publication Distill is just utterly beautiful: distill.pub/
    Lion photo by Kevin Pluck
    Animations largely made using manim, a scrappy open source python library. github.com/3b1b/manim
    If you want to check it out, I feel compelled to warn you that it's not the most well-documented tool, and has many other quirks you might expect in a library someone wrote with only their own use in mind.
    Music by Vincent Rubinetti.
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    If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lessons accessible to more people.
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