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What is a Neural Network | Edureka

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YouTube Link: https://youtu.be/vpOLiDyhNUA
** Machine Learning Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka PPT on 'What is a Neural Network' will help you understand how Neural Networks can be used to solve complex, data-driven problems along with their real-world applications.

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What is a Neural Network | Edureka

  1. 1. Speech recognition Healthcare Face recognition Marketing
  2. 2. Deep Learning uses Artificial Neural Networks which mimic the behaviour of the human brain to solve complex data driven problems.
  3. 3. Deep Learning
  4. 4. Machine Learning Deep Learning
  5. 5. Artificial Intelligence Machine Learning Deep Learning
  6. 6. Artificial Intelligence Machine Learning Deep Learning Artificial Intelligence, Machine Learning and Deep Learning are interconnected fields. Machine Learning and Deep learning aids Artificial Intelligence by providing a set of algorithms and Neural Networks to solve data driven problems.
  7. 7. Deep learning makes use of Artificial Neural Networks that behave similar to the Neural Networks in our brain.
  8. 8. A Neural Network functions when some input data is fed to it. This data is then processed via layers of Perceptrons to produce a desired output.
  9. 9. Problem Statement: Classify leaf images as either diseased or non-diseased.
  10. 10. Non-diseased leaves Diseased leaves Problem Statement: Classify leaf images as either diseased or non-diseased.
  11. 11. How do you create a Neural Network that classifies the leaves into diseased and non-diseased crops?
  12. 12. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer
  13. 13. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 ෍ 𝑖=1 𝑛 π‘₯𝑖 𝑀𝑖 π‘₯1 𝑀1 + π‘₯2 𝑀2 + β‹― β‹… π‘₯𝑖 𝑀𝑖 = w2 w3 w4 wi b b b b b
  14. 14. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 ෍ 𝑖=1 𝑛 π‘₯𝑖 𝑀𝑖 π‘₯1 𝑀1 + π‘₯2 𝑀2 + β‹― β‹… π‘₯𝑖 𝑀𝑖 = w2 w3 w4 wi b b b b b
  15. 15. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 ෍ 𝑖=1 𝑛 π‘₯𝑖 𝑀𝑖 π‘₯1 𝑀1 + π‘₯2 𝑀2 + β‹― β‹… π‘₯𝑖 𝑀𝑖 = w2 w3 w4 wi b b b b b
  16. 16. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 ෍ 𝑖=1 𝑛 π‘₯𝑖 𝑀𝑖 π‘₯1 𝑀1 + π‘₯2 𝑀2 + β‹― β‹… π‘₯𝑖 𝑀𝑖 = w2 w3 w4 wi b b b b b P = 0.7 P = 0.3
  17. 17. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 ෍ 𝑖=1 𝑛 π‘₯𝑖 𝑀𝑖 π‘₯1 𝑀1 + π‘₯2 𝑀2 + β‹― β‹… π‘₯𝑖 𝑀𝑖 = w2 w3 w4 wi b b b b b P = 0.7
  18. 18. 30 x 30 pixels 30x30pixels Now let’s assume a case where the predicted output is wrong. In such a situation, we train the Neural Network by using the Backpropagation method.
  19. 19. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 w2 b b b b b w3 w4 wi
  20. 20. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 w2 b b b b b w3 w4 wi Actual output Predicted output
  21. 21. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 b b b b b Ξ”w1 Ξ”w2 Ξ”w3 Ξ”w4 Ξ”wi Correct
  22. 22. With the help of Deep Learning techniques Google can instantly translate between more than 100 different human languages.
  23. 23. From Tesla to Google owned WAYMO, self driving cars are being perfected with the help of Neural Networks.
  24. 24. Virtual assistants are purely based on technologies including Deep Learning, Machine Learning and Natural Language Processing.
  25. 25. β€œAI bots just beat humans at the video game DOTA 2. That’s a big deal, because their victory required teamwork and collaboration – a huge milestone in advancing Artificial Intelligence.” - Bill Gates
  26. 26. MuseNet, a Deep Neural Network that can generate 4- minute musical compositions with 10 different instruments.
  27. 27. Wordsmith is an AI-powered tool that produces written analytics by transforming the given data.

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