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In the last video in this series we discussed the differences between deep learning and machine learning, how and when the field of deep learning was officially born, and it’s rise to mainstream popularity. The focus of this video then will be on artificial neural networks, more specifically – their structure.

00:00 Intro
00:27 From The Brain To AI

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Soundtrack ➤

♫ 00;00 "Clair de Lune" by RELAYER
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Sources ➤

[1]https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf
[2]https://www.youtube.com/watch?v=Q9Z20HCPnww (Deep Learning Demystified – Brandon Rohrer)
[3]https://www.youtube.com/watch?v=ILsA4nyG7I0 (How Deep Neural Networks Work – Brandon Rohrer)
[4]https://www.the-scientist.com/foundations/the-neuron-doctrine-circa-1894-38476
[5]https://www.youtube.com/watch?v=aircAruvnKk (But What *is* A Neural Network? | Deep Learning, Chapter 1 – 3Blue1Brown)
[6]https://www.analyticsindiamag.com/neural-networks-not-work-like-human-brains-lets-debunk-myth/

Producer ➤ Ankur Bargotra

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