Visit Our Parent Company EarthOne ➤ null In the last video in this series, we went through an intuitive example, starting from scratch and layer-by-layer hand-building a neural network that can classify patterns in an input image. The focus of this video then will continue right were the last one left off, as we delve into how these networks are actually able to ‘learn’. 00:00 Intro 0:27 How Computers Learn Become A Member & Help Us Grow ➤ https://subscribe.futurology.earthone.io/member Learn More About Us Here ➤ https://futurology.earthone.io/ Join Our Discord ➤ https://subscribe.futurology.earthone.io/discord Soundtrack ➤ ♫ 00;00 "Clair de Lune" by RELAYER ♫ 00;27 "Sun" by HOME ♫ 02;52 "Flood" by HOME ♫ 06;09 "If I'm Wrong" by HOME ♫ 08;43 "Resonance" by HOME ♫ 12;08 "Accelerated" by Miami Nights 1984 ♫ 12;57 "June" by Aire Atlantica Sources ➤ [1]https://www.cs.toronto.edu/~hinton/absps/NatureDeepReview.pdf [2]https://www.youtube.com/watch?v=ILsA4nyG7I0 (How Deep Neural Networks Work – Brandon Rohrer) [3]https://www.youtube.com/watch?v=aircAruvnKk (But What is A Neural Network? | Deep Learning, Chapter 1 – 3Blue1Brown) [4]https://www.youtube.com/watch?v=IHZwWFHWa-w (Gradient Descent, How Neural Networks Learn | Deep Learning, Chapter 2 – 3Blue1Brown) [5]https://medium.com/the-theory-of-everything/understanding-activation-functions-in-neural-networks-9491262884e0 [6]https://machinelearningmastery.com/rectified-linear-activation-function-for-deep-learning-neural-networks/ [7]https://medium.com/@devnag/machine-learning-representation-evaluation-optimization-fc7b26b38fdb [8]https://www.youtube.com/watch?v=bVQUSndDllU (Neural Networks [E01: Introduction] – Sebastian Lague) [9]https://www.youtube.com/watch?v=Ilg3gGewQ5U (Backpropagation Calculus | Deep Learning, Chapter 4 – 3Blue1Brown) Producer ➤ Ankur Bargotra Follow The Producers Social Media Accounts ➤ https://twitter.com/enchorb http://www.snapchat.com/add/enchorb http://www.instagram.com/enchorb