But what is a Neural Network? | Deep learning, chapter 1
Full playlist: http://3b1b.co/neural-networks
Typo correction: At 14 minutes 45 seconds, the final index on the bias vector is n, when it is purported to in actual fact be a ok. Thanks for the sharp eyes that caught that!
For those that wish to be taught extra, I extremely suggest the e book by Michael Nielsen introducing neural networks and deep studying: https://goo.gl/Zmczdy
There are two neat issues about this e book. First, it is obtainable totally free, so take into account becoming a member of me in making a donation Nielsen’s method when you get one thing out of it. And second, it is centered round strolling by some code and information which you’ll be able to obtain your self, and which covers the identical instance that I introduce on this video. Yay for energetic studying!
I additionally extremely suggest Chris Olah’s weblog: http://colah.github.io/
For these of you seeking to go *even* deeper, take a look at the textual content “Deep Learning” by Goodfellow, Bengio, and Courville.
Also, the publication Distill is simply completely lovely: https://distill.pub/
Lion picture by Kevin Pluck
0:00 – Introduction instance
1:07 – Series preview
2:42 – What are neurons?
3:35 – Introducing layers
5:31 – Why layers?
8:38 – Edge detection instance
11:34 – Counting weights and biases
12:30 – How studying relates
13:26 – Notation and linear algebra
15:17 – Recap
16:27 – Some closing phrases
17:03 – ReLU vs Sigmoid
Animations largely made utilizing manim, a scrappy open supply python library. https://github.com/3b1b/manim
If you wish to test it out, I really feel compelled to warn you that it is not probably the most well-documented software, and has many different quirks you may anticipate in a library somebody wrote with solely their very own use in thoughts.
Music by Vincent Rubinetti.
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