AI, ML and DL applications
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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. Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Castbox: https://castbox.fm/networks/505?country=in
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AI, ML and DL applications
- 3. Deep Learning uses Artificial Neural Networks which mimic the behaviour of the human brain to solve complex data driven problems.
- 6. Artificial Intelligence Machine Learning Deep Learning
- 7. 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.
- 8. Deep learning makes use of Artificial Neural Networks that behave similar to the Neural Networks in our brain.
- 9. 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.
- 10. Problem Statement: Classify leaf images as either diseased or non-diseased.
- 11. Non-diseased leaves Diseased leaves Problem Statement: Classify leaf images as either diseased or non-diseased.
- 12. How do you create a Neural Network that classifies the leaves into diseased and non-diseased crops?
- 13. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer
- 14. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 𝑖=1 𝑛 𝑥𝑖 𝑤𝑖 𝑥1 𝑤1 + 𝑥2 𝑤2 + ⋯ ⋅ 𝑥𝑖 𝑤𝑖 = w2 w3 w4 wi b b b b b
- 15. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 𝑖=1 𝑛 𝑥𝑖 𝑤𝑖 𝑥1 𝑤1 + 𝑥2 𝑤2 + ⋯ ⋅ 𝑥𝑖 𝑤𝑖 = w2 w3 w4 wi b b b b b
- 16. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 𝑖=1 𝑛 𝑥𝑖 𝑤𝑖 𝑥1 𝑤1 + 𝑥2 𝑤2 + ⋯ ⋅ 𝑥𝑖 𝑤𝑖 = w2 w3 w4 wi b b b b b
- 17. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 𝑖=1 𝑛 𝑥𝑖 𝑤𝑖 𝑥1 𝑤1 + 𝑥2 𝑤2 + ⋯ ⋅ 𝑥𝑖 𝑤𝑖 = w2 w3 w4 wi b b b b b P = 0.7 P = 0.3
- 18. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 w1 𝑖=1 𝑛 𝑥𝑖 𝑤𝑖 𝑥1 𝑤1 + 𝑥2 𝑤2 + ⋯ ⋅ 𝑥𝑖 𝑤𝑖 = w2 w3 w4 wi b b b b b P = 0.7
- 19. 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.
- 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
- 21. 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
- 22. 30 x 30 pixels 30x30pixels Input layer Hidden layer Output layer x1 x2 x3 x4 b b b b b Δw1 Δw2 Δw3 Δw4 Δwi Correct
- 23. With the help of Deep Learning techniques Google can instantly translate between more than 100 different human languages.
- 24. From Tesla to Google owned WAYMO, self driving cars are being perfected with the help of Neural Networks.
- 25. Virtual assistants are purely based on technologies including Deep Learning, Machine Learning and Natural Language Processing.
- 26. “AI 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
- 27. MuseNet, a Deep Neural Network that can generate 4- minute musical compositions with 10 different instruments.
- 28. Wordsmith is an AI-powered tool that produces written analytics by transforming the given data.