Скачать или смотреть How Computers Learn | Neural Networks Explained (Gradient Descent & Backpropagation)

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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

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♫ 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
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Sources ➤

[1]https://www.cs.toronto.edu/~hinton/ab...
[2]   • How Deep Neural Networks Work   (How Deep Neural Networks Work – Brandon Rohrer)
[3]   • But what is a neural network? | Deep learn...   (But What is A Neural Network? | Deep Learning, Chapter 1 – 3Blue1Brown)
[4]   • Gradient descent, how neural networks lear...   (Gradient Descent, How Neural Networks Learn | Deep Learning, Chapter 2 – 3Blue1Brown)
[5]  / understanding-activation-functions-in-neur...  
[6]https://machinelearningmastery.com/re...
[7]  / machine-learning-representation-evaluation...  
[8]   • A Brief Introduction to Neural Networks (u...   (Neural Networks [E01: Introduction] – Sebastian Lague)
[9]   • Backpropagation, intuitively | Deep Learni...   (Backpropagation Calculus | Deep Learning, Chapter 4 – 3Blue1Brown)

Producer ➤ Ankur Bargotra

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