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Gradient Descent. How NN learns
This document discusses the fundamentals of neural networks, including cost functions, gradient descent, and backpropagation. It provides links to additional resources for further understanding of machine learning concepts. The content is aimed at introducing readers to how neural networks learn and their underlying principles.
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Gradient Descent. How NN learns
- 1. Gradient Descent. HowNN learns by Anatolii Shkurpylo, Software Developer
- 2. www.eliftech.com ▪ Interesting intro ▪Recap basics of Neural Network ▪ Cost Function ▪ Gradient Descent ▪ Backpropagation ▪ Links
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- 7. www.eliftech.com Input layer 2 hiddenlayers Output layer ... 28 * 28 px vector 784d
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- 10. www.eliftech.com Cost Function (Loss orobjective function) C =cost
- 11. www.eliftech.com Cost function byLinear regression example
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- 14. www.eliftech.com Cost Function (Loss orobjective function)
- 15. www.eliftech.com Gradient Descent ofcost function C(v1, v2)
- 16. www.eliftech.com Gradient Descent ofcost function
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- 22. www.eliftech.com Links ▪ http://neuralnetworksanddeeplearning.com/index.html ▪ https://www.analyticsvidhya.com/blog/2017/01/introduction-to-reinforcement- learning-implementation/ ▪https://deepmind.com/blog/deepmind-and-blizzard-open-starcraft-ii-ai-research- environment/ ▪ http://www.3blue1brown.com/ ▪ https://www.khanacademy.org/math/ap-calculus-ab/ab-derivative-rules/ab-chain- rule/v/chain-rule-introduction ▪ https://www.coursera.org/learn/machine-learning ▪ https://github.com/mnielsen/neural-networks-and-deep- learning/blob/master/src/network.py
- 23. www.eliftech.com Thank you forattention! Find us at eliftech.com Have a question? Contact us: info@eliftech.com